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fingerprints</title> <meta name="description" content="Search results for: biometric fingerprints"> <meta name="keywords" content="biometric fingerprints"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="biometric fingerprints"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 140</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: biometric fingerprints</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">140</span> To Study the New Invocation of Biometric Authentication Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aparna%20Gulhane">Aparna Gulhane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometrics is the science and technology of measuring and analyzing biological data form the basis of research in biological measuring techniques for the purpose of people identification and recognition. In information technology, biometrics refers to technologies that measure and analyze human body characteristics, such as DNA, fingerprints, eye retinas and irises, voice patterns, facial patterns and hand measurements. Biometric systems are used to authenticate the person's identity. The idea is to use the special characteristics of a person to identify him. These papers present a biometric authentication techniques and actual deployment of potential by overall invocation of biometrics recognition, with an independent testing of various biometric authentication products and technology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=types%20of%20biometrics" title="types of biometrics">types of biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=importance%20of%20biometric" title=" importance of biometric"> importance of biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=review%20for%20biometrics%20and%20getting%20a%20new%20implementation" title=" review for biometrics and getting a new implementation"> review for biometrics and getting a new implementation</a>, <a href="https://publications.waset.org/abstracts/search?q=biometric%20authentication%20technique" title=" biometric authentication technique"> biometric authentication technique</a> </p> <a href="https://publications.waset.org/abstracts/23939/to-study-the-new-invocation-of-biometric-authentication-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23939.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">139</span> A Biometric Template Security Approach to Fingerprints Based on Polynomial Transformations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ramon%20Santana">Ramon Santana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of biometric identifiers in the field of information security, access control to resources, authentication in ATMs and banking among others, are of great concern because of the safety of biometric data. In the general architecture of a biometric system have been detected eight vulnerabilities, six of them allow obtaining minutiae template in plain text. The main consequence of obtaining minutia templates is the loss of biometric identifier for life. To mitigate these vulnerabilities several models to protect minutiae templates have been proposed. Several vulnerabilities in the cryptographic security of these models allow to obtain biometric data in plain text. In order to increase the cryptographic security and ease of reversibility, a minutiae templates protection model is proposed. The model aims to make the cryptographic protection and facilitate the reversibility of data using two levels of security. The first level of security is the data transformation level. In this level generates invariant data to rotation and translation, further transformation is irreversible. The second level of security is the evaluation level, where the encryption key is generated and data is evaluated using a defined evaluation function. The model is aimed at mitigating known vulnerabilities of the proposed models, basing its security on the impossibility of the polynomial reconstruction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fingerprint" title="fingerprint">fingerprint</a>, <a href="https://publications.waset.org/abstracts/search?q=template%20protection" title=" template protection"> template protection</a>, <a href="https://publications.waset.org/abstracts/search?q=bio-cryptography" title=" bio-cryptography"> bio-cryptography</a>, <a href="https://publications.waset.org/abstracts/search?q=minutiae%20protection" title=" minutiae protection"> minutiae protection</a> </p> <a href="https://publications.waset.org/abstracts/95139/a-biometric-template-security-approach-to-fingerprints-based-on-polynomial-transformations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95139.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">138</span> Gait Biometric for Person Re-Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lavanya%20Srinivasan">Lavanya Srinivasan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometric identification is to identify unique features in a person like fingerprints, iris, ear, and voice recognition that need the subject's permission and physical contact. Gait biometric is used to identify the unique gait of the person by extracting moving features. The main advantage of gait biometric to identify the gait of a person at a distance, without any physical contact. In this work, the gait biometric is used for person re-identification. The person walking naturally compared with the same person walking with bag, coat, and case recorded using longwave infrared, short wave infrared, medium wave infrared, and visible cameras. The videos are recorded in rural and in urban environments. The pre-processing technique includes human identified using YOLO, background subtraction, silhouettes extraction, and synthesis Gait Entropy Image by averaging the silhouettes. The moving features are extracted from the Gait Entropy Energy Image. The extracted features are dimensionality reduced by the principal component analysis and recognised using different classifiers. The comparative results with the different classifier show that linear discriminant analysis outperforms other classifiers with 95.8% for visible in the rural dataset and 94.8% for longwave infrared in the urban dataset. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometric" title="biometric">biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=gait" title=" gait"> gait</a>, <a href="https://publications.waset.org/abstracts/search?q=silhouettes" title=" silhouettes"> silhouettes</a>, <a href="https://publications.waset.org/abstracts/search?q=YOLO" title=" YOLO"> YOLO</a> </p> <a href="https://publications.waset.org/abstracts/136879/gait-biometric-for-person-re-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136879.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">137</span> Visualization of Latent Sweat Fingerprints Deposit on Paper by Infrared Radiation and Blue Light </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiaochun%20Huang">Xiaochun Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuejun%20Zhao"> Xuejun Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yun%20Zou"> Yun Zou</a>, <a href="https://publications.waset.org/abstracts/search?q=Feiyu%20Yang"> Feiyu Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenbin%20Liu"> Wenbin Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nan%20Deng"> Nan Deng</a>, <a href="https://publications.waset.org/abstracts/search?q=Ming%20Zhang"> Ming Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Nengbin%20Cai"> Nengbin Cai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A simple device termed infrared radiation (IR) was developed for rapid visualization of sweat fingerprints deposit on paper with blue light (450 nm, 11 W). In this approach, IR serves as the pretreatment device before the sweat fingerprints was illuminated by blue light. An annular blue light source was adopted for visualizing latent sweat fingerprints. Sample fingerprints were examined under various conditions after deposition, and experimental results indicate that the recovery rate of the latent sweat fingerprints is in the range of 50%-100% without chemical treatments. A mechanism for the observed visibility is proposed based on transportation and re-impregnation of fluorescer in paper at the region of water. And further exploratory experimental results gave the full support to the visible mechanism. Therefore, such a method as IR-pretreated in detecting latent fingerprints may be better for examination in the case where biological information of samples is needed for consequent testing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forensic%20science" title="forensic science">forensic science</a>, <a href="https://publications.waset.org/abstracts/search?q=visualization" title=" visualization"> visualization</a>, <a href="https://publications.waset.org/abstracts/search?q=infrared%20radiation" title=" infrared radiation"> infrared radiation</a>, <a href="https://publications.waset.org/abstracts/search?q=blue%20light" title=" blue light"> blue light</a>, <a href="https://publications.waset.org/abstracts/search?q=latent%20sweat%20fingerprints" title=" latent sweat fingerprints"> latent sweat fingerprints</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a> </p> <a href="https://publications.waset.org/abstracts/80555/visualization-of-latent-sweat-fingerprints-deposit-on-paper-by-infrared-radiation-and-blue-light" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80555.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">497</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">136</span> New Approach for Constructing a Secure Biometric Database</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Kebbeb">A. Kebbeb</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Mostefai"> M. Mostefai</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Benmerzoug"> F. Benmerzoug</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Chahir"> Y. Chahir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The multimodal biometric identification is the combination of several biometric systems. The challenge of this combination is to reduce some limitations of systems based on a single modality while significantly improving performance. In this paper, we propose a new approach to the construction and the protection of a multimodal biometric database dedicated to an identification system. We use a topological watermarking to hide the relation between face image and the registered descriptors extracted from other modalities of the same person for more secure user identification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometric%20databases" title="biometric databases">biometric databases</a>, <a href="https://publications.waset.org/abstracts/search?q=multimodal%20biometrics" title=" multimodal biometrics"> multimodal biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20authentication" title=" security authentication"> security authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20watermarking" title=" digital watermarking"> digital watermarking</a> </p> <a href="https://publications.waset.org/abstracts/3126/new-approach-for-constructing-a-secure-biometric-database" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3126.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">391</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">135</span> Minimum Data of a Speech Signal as Special Indicators of Identification in Phonoscopy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nazaket%20Gazieva">Nazaket Gazieva</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Voice biometric data associated with physiological, psychological and other factors are widely used in forensic phonoscopy. There are various methods for identifying and verifying a person by voice. This article explores the minimum speech signal data as individual parameters of a speech signal. Monozygotic twins are believed to be genetically identical. Using the minimum data of the speech signal, we came to the conclusion that the voice imprint of monozygotic twins is individual. According to the conclusion of the experiment, we can conclude that the minimum indicators of the speech signal are more stable and reliable for phonoscopic examinations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=phonogram" title="phonogram">phonogram</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20signal" title=" speech signal"> speech signal</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20characteristics" title=" temporal characteristics"> temporal characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=fundamental%20frequency" title=" fundamental frequency"> fundamental frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=biometric%20fingerprints" title=" biometric fingerprints"> biometric fingerprints</a> </p> <a href="https://publications.waset.org/abstracts/110332/minimum-data-of-a-speech-signal-as-special-indicators-of-identification-in-phonoscopy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110332.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">134</span> A New Approach to Predicting Physical Biometrics from Behavioural Biometrics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raid%20R.%20O.%20Al-Nima">Raid R. O. Al-Nima</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20S.%20Dlay"> S. S. Dlay</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20L.%20Woo"> W. L. Woo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A relationship between face and signature biometrics is established in this paper. A new approach is developed to predict faces from signatures by using artificial intelligence. A multilayer perceptron (MLP) neural network is used to generate face details from features extracted from signatures, here face is the physical biometric and signatures is the behavioural biometric. The new method establishes a relationship between the two biometrics and regenerates a visible face image from the signature features. Furthermore, the performance efficiencies of our new technique are demonstrated in terms of minimum error rates compared to published work. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavioural%20biometric" title="behavioural biometric">behavioural biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=face%20biometric" title=" face biometric"> face biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=physical%20biometric" title=" physical biometric"> physical biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=signature%20biometric" title=" signature biometric"> signature biometric</a> </p> <a href="https://publications.waset.org/abstracts/15556/a-new-approach-to-predicting-physical-biometrics-from-behavioural-biometrics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15556.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">474</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">133</span> Effect of Helium and Sulfur Hexafluoride Gas Inhalation on Voice Resonances</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pallavi%20Marathe">Pallavi Marathe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Voice is considered to be a unique biometric property of human beings. Unlike other biometric evidence, for example, fingerprints and retina scans, etc., voice can be easily changed or mimicked. The present paper talks about how the inhalation of helium and sulfur hexafluoride (SF6) gas affects the voice formant frequencies that are the resonant frequencies of the vocal tract. Helium gas is low-density gas; hence, the voice travels with a higher speed than that of air. On the other side in SF6 gas voice travels with lower speed than that of air due to its higher density. These results in decreasing the resonant frequencies of voice in helium and increasing in SF6. Results are presented with the help of Praat software, which is used for voice analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=voice%20formants" title="voice formants">voice formants</a>, <a href="https://publications.waset.org/abstracts/search?q=helium" title=" helium"> helium</a>, <a href="https://publications.waset.org/abstracts/search?q=sulfur%20hexafluoride" title=" sulfur hexafluoride"> sulfur hexafluoride</a>, <a href="https://publications.waset.org/abstracts/search?q=gas%20inhalation" title=" gas inhalation"> gas inhalation</a> </p> <a href="https://publications.waset.org/abstracts/115121/effect-of-helium-and-sulfur-hexafluoride-gas-inhalation-on-voice-resonances" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115121.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">125</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">132</span> Biometric Recognition Techniques: A Survey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shabir%20Ahmad%20Sofi">Shabir Ahmad Sofi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shubham%20Aggarwal"> Shubham Aggarwal</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanyam%20Singhal"> Sanyam Singhal</a>, <a href="https://publications.waset.org/abstracts/search?q=Roohie%20Naaz"> Roohie Naaz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometric recognition refers to an automatic recognition of individuals based on a feature vector(s) derived from their physiological and/or behavioral characteristic. Biometric recognition systems should provide a reliable personal recognition schemes to either confirm or determine the identity of an individual. These features are used to provide an authentication for computer based security systems. Applications of such a system include computer systems security, secure electronic banking, mobile phones, credit cards, secure access to buildings, health and social services. By using biometrics a person could be identified based on 'who she/he is' rather than 'what she/he has' (card, token, key) or 'what she/he knows' (password, PIN). In this paper, a brief overview of biometric methods, both unimodal and multimodal and their advantages and disadvantages, will be presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometric" title="biometric">biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA" title=" DNA"> DNA</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprint" title=" fingerprint"> fingerprint</a>, <a href="https://publications.waset.org/abstracts/search?q=ear" title=" ear"> ear</a>, <a href="https://publications.waset.org/abstracts/search?q=face" title=" face"> face</a>, <a href="https://publications.waset.org/abstracts/search?q=retina%20scan" title=" retina scan"> retina scan</a>, <a href="https://publications.waset.org/abstracts/search?q=gait" title=" gait"> gait</a>, <a href="https://publications.waset.org/abstracts/search?q=iris" title=" iris"> iris</a>, <a href="https://publications.waset.org/abstracts/search?q=voice%20recognition" title=" voice recognition"> voice recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=unimodal%20biometric" title=" unimodal biometric"> unimodal biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=multimodal%20biometric" title=" multimodal biometric"> multimodal biometric</a> </p> <a href="https://publications.waset.org/abstracts/15520/biometric-recognition-techniques-a-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15520.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">756</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">131</span> Detection of Latent Fingerprints Recovered from Arson Simulation by a Novel Fluorescent Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Somayeh%20Khanjani">Somayeh Khanjani</a>, <a href="https://publications.waset.org/abstracts/search?q=Samaneh%20Nabavi"> Samaneh Nabavi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shirin%20Jalili"> Shirin Jalili</a>, <a href="https://publications.waset.org/abstracts/search?q=Afshin%20Khara"> Afshin Khara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fingerprints are area source of ubiquitous evidence and consequential for establishing identity. The detection and subsequent development of fingerprints are thus inevitable in criminal investigations. This becomes a difficult task in the case of certain extreme conditions like fire. A fire scene may be accidental or arson. The evidence subjected to fire is generally overlooked as there is a misconception that they are damaged. There are several scientific approaches to determine whether the fire was deliberate or not. In such as scenario, fingerprints may be most critical to link the perpetrator to the crime. The reason for this may be the destructive nature of fire. Fingerprints subjected to fire are exposed to high temperatures, soot deposition, electromagnetic radiation, and subsequent water force. It is believed that these phenomena damage the fingerprint. A novel fluorescent and a pre existing small particle reagent were investigated for the same. Zinc carbonates based fluorescent small particle reagent was capable of developing latent fingerprints exposed to a maximum temperature of 800 ̊C. Fluorescent SPR may prove very useful in such cases. Fluorescent SPR reagent based on zinc carbonate is a potential method for developing fingerprints from arson sites. The method is cost effective and non hazardous. This formulation is suitable for developing fingerprints exposed to fire/ arson. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fingerprint" title="fingerprint">fingerprint</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20particle%20reagent%20%28SPR%29" title=" small particle reagent (SPR)"> small particle reagent (SPR)</a>, <a href="https://publications.waset.org/abstracts/search?q=arson" title=" arson"> arson</a>, <a href="https://publications.waset.org/abstracts/search?q=novel%20fluorescent" title=" novel fluorescent "> novel fluorescent </a> </p> <a href="https://publications.waset.org/abstracts/28086/detection-of-latent-fingerprints-recovered-from-arson-simulation-by-a-novel-fluorescent-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28086.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">472</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">130</span> Fingerprint on Ballistic after Shooting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Narong%20Kulnides">Narong Kulnides</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research involved fingerprints on ballistics after shooting. Two objectives of research were as follows; (1) to study the duration of the existence of latent fingerprints on .38, .45, 9 mm and .223 cartridge case after shooting, and (2) to compare the effectiveness of the detection of latent fingerprints by Black Powder, Super Glue, Perma Blue and Gun Bluing. The latent fingerprint appearance were studied on .38, .45, 9 mm. and .223 cartridge cases before and after shooting with Black Powder, Super Glue, Perma Blue and Gun Bluing. The detection times were 3 minute, 6, 12, 18, 24, 30, 36, 42, 48, 54, 60, 66, 72, 78 and 84 hours respectively. As a result of the study, it can be conclude that: (1) Before shooting, the detection of latent fingerprints on 38, .45, and 9 mm. and .223 cartridge cases with Black Powder, Super Glue, Perma Blue and Gun Bluing can detect the fingerprints at all detection times. (2) After shooting, the detection of latent fingerprints on .38, .45, 9 mm. and .223 cartridge cases with Black Powder, Super Glue did not appear. The detection of latent fingerprints on .38, .45, 9 mm. cartridge cases with Perma Blue and Gun Bluing were found 100% of the time and the detection of latent fingerprints on .223 cartridge cases with Perma Blue and Gun Bluing were found 40% and 46.67% of the time, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ballistic" title="ballistic">ballistic</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprint" title=" fingerprint"> fingerprint</a>, <a href="https://publications.waset.org/abstracts/search?q=shooting" title=" shooting"> shooting</a>, <a href="https://publications.waset.org/abstracts/search?q=detection%20times" title=" detection times"> detection times</a> </p> <a href="https://publications.waset.org/abstracts/10363/fingerprint-on-ballistic-after-shooting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10363.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">418</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">129</span> Implementation of a Multimodal Biometrics Recognition System with Combined Palm Print and Iris Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rabab%20M.%20Ramadan">Rabab M. Ramadan</a>, <a href="https://publications.waset.org/abstracts/search?q=Elaraby%20A.%20Elgallad"> Elaraby A. Elgallad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With extensive application, the performance of unimodal biometrics systems has to face a diversity of problems such as signal and background noise, distortion, and environment differences. Therefore, multimodal biometric systems are proposed to solve the above stated problems. This paper introduces a bimodal biometric recognition system based on the extracted features of the human palm print and iris. Palm print biometric is fairly a new evolving technology that is used to identify people by their palm features. The iris is a strong competitor together with face and fingerprints for presence in multimodal recognition systems. In this research, we introduced an algorithm to the combination of the palm and iris-extracted features using a texture-based descriptor, the Scale Invariant Feature Transform (SIFT). Since the feature sets are non-homogeneous as features of different biometric modalities are used, these features will be concatenated to form a single feature vector. Particle swarm optimization (PSO) is used as a feature selection technique to reduce the dimensionality of the feature. The proposed algorithm will be applied to the Institute of Technology of Delhi (IITD) database and its performance will be compared with various iris recognition algorithms found in the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=iris%20recognition" title="iris recognition">iris recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20selection" title=" feature selection"> feature selection</a>, <a href="https://publications.waset.org/abstracts/search?q=palm%20print" title=" palm print"> palm print</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20Scale%20Invariant%20Feature%20Transform%20%28SIFT%29" title=" the Scale Invariant Feature Transform (SIFT)"> the Scale Invariant Feature Transform (SIFT)</a> </p> <a href="https://publications.waset.org/abstracts/90535/implementation-of-a-multimodal-biometrics-recognition-system-with-combined-palm-print-and-iris-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90535.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">235</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">128</span> Biometric Identification with Latitude and Longitude Fingerprint Verification for Attendance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Fezan%20Afzal">Muhammad Fezan Afzal</a>, <a href="https://publications.waset.org/abstracts/search?q=Imran%20Khan"> Imran Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Salma%20Imtiaz"> Salma Imtiaz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The need for human verification and identification requires from centuries for authentication. Since it is being used in big institutes like financial, government and crime departments, a continued struggle is important to make this system more efficient to prevent security breaches. Therefore, multiple devices are used to authenticate the biometric for each individual. A large number of devices are required to cover a large number of users. As the number of devices increases, cost will automatically increase. Furthermore, it is time-consuming for biometrics due to the devices being insufficient and are not available at every door. In this paper, we propose the framework and algorithm where the mobile of each individual can also perform the biometric authentication of attendance and security. Every mobile has a biometric authentication system that is used in different mobile applications for security purposes. Therefore, each individual can use the biometric system mobile without moving from one place to another. Moreover, by using the biometrics mobile, the cost of biometric systems can be removed that are mostly deployed in different organizations for the attendance of students, employees and for other security purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fingerprint" title="fingerprint">fingerprint</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprint%20authentication" title=" fingerprint authentication"> fingerprint authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20verification" title=" mobile verification"> mobile verification</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20biometric%20verification" title=" mobile biometric verification"> mobile biometric verification</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20fingerprint%20sensor" title=" mobile fingerprint sensor"> mobile fingerprint sensor</a> </p> <a href="https://publications.waset.org/abstracts/171752/biometric-identification-with-latitude-and-longitude-fingerprint-verification-for-attendance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171752.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">69</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">127</span> Biosignal Recognition for Personal Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hadri%20Hussain">Hadri Hussain</a>, <a href="https://publications.waset.org/abstracts/search?q=M.Nasir%20Ibrahim"> M.Nasir Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Chee-Ming%20Ting"> Chee-Ming Ting</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariani%20Idroas"> Mariani Idroas</a>, <a href="https://publications.waset.org/abstracts/search?q=Fuad%20Numan"> Fuad Numan</a>, <a href="https://publications.waset.org/abstracts/search?q=Alias%20Mohd%20Noor"> Alias Mohd Noor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A biometric security system has become an important application in client identification and verification system. A conventional biometric system is normally based on unimodal biometric that depends on either behavioural or physiological information for authentication purposes. The behavioural biometric depends on human body biometric signal (such as speech) and biosignal biometric (such as electrocardiogram (ECG) and phonocardiogram or heart sound (HS)). The speech signal is commonly used in a recognition system in biometric, while the ECG and the HS have been used to identify a person’s diseases uniquely related to its cluster. However, the conventional biometric system is liable to spoof attack that will affect the performance of the system. Therefore, a multimodal biometric security system is developed, which is based on biometric signal of ECG, HS, and speech. The biosignal data involved in the biometric system is initially segmented, with each segment Mel Frequency Cepstral Coefficients (MFCC) method is exploited for extracting the feature. The Hidden Markov Model (HMM) is used to model the client and to classify the unknown input with respect to the modal. The recognition system involved training and testing session that is known as client identification (CID). In this project, twenty clients are tested with the developed system. The best overall performance at 44 kHz was 93.92% for ECG and the worst overall performance was ECG at 88.47%. The results were compared to the best overall performance at 44 kHz for (20clients) to increment of clients, which was 90.00% for HS and the worst overall performance falls at ECG at 79.91%. It can be concluded that the difference multimodal biometric has a substantial effect on performance of the biometric system and with the increment of data, even with higher frequency sampling, the performance still decreased slightly as predicted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electrocardiogram" title="electrocardiogram">electrocardiogram</a>, <a href="https://publications.waset.org/abstracts/search?q=phonocardiogram" title=" phonocardiogram"> phonocardiogram</a>, <a href="https://publications.waset.org/abstracts/search?q=hidden%20markov%20model" title=" hidden markov model"> hidden markov model</a>, <a href="https://publications.waset.org/abstracts/search?q=mel%20frequency%20cepstral%20coeffiecients" title=" mel frequency cepstral coeffiecients"> mel frequency cepstral coeffiecients</a>, <a href="https://publications.waset.org/abstracts/search?q=client%20identification" title=" client identification"> client identification</a> </p> <a href="https://publications.waset.org/abstracts/48382/biosignal-recognition-for-personal-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48382.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">280</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">126</span> Student Records Management System Using Smart Cards and Biometric Technology for Educational Institutions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Patrick%20O.%20Bobbie">Patrick O. Bobbie</a>, <a href="https://publications.waset.org/abstracts/search?q=Prince%20S.%20Attrams"> Prince S. Attrams</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent times, the rapid change in new technologies has spurred up the way and manner records are handled in educational institutions. Also, there is a need for reliable access and ease-of use to these records, resulting in increased productivity in organizations. In academic institutions, such benefits help in quality assessments, institutional performance, and assessments of teaching and evaluation methods. Students in educational institutions benefit the most when advanced technologies are deployed in accessing records. This research paper discusses the use of biometric technologies coupled with smartcard technologies to provide a unique way of identifying students and matching their data to financial records to grant them access to restricted areas such as examination halls. The system developed in this paper, has an identity verification component as part of its main functionalities. A systematic software development cycle of analysis, design, coding, testing and support was used. The system provides a secured way of verifying student’s identity and real time verification of financial records. An advanced prototype version of the system has been developed for testing purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometrics" title="biometrics">biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=smartcards" title=" smartcards"> smartcards</a>, <a href="https://publications.waset.org/abstracts/search?q=identity-verification" title=" identity-verification"> identity-verification</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprints" title=" fingerprints"> fingerprints</a> </p> <a href="https://publications.waset.org/abstracts/17960/student-records-management-system-using-smart-cards-and-biometric-technology-for-educational-institutions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17960.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">419</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">125</span> HPTLC Based Qualitative and Quantitative Evaluation of Uraria picta Desv: A Dashmool Species</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hari%20O.%20Saxena">Hari O. Saxena</a>, <a href="https://publications.waset.org/abstracts/search?q=Ganesh"> Ganesh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present investigation, chemical fingerprints of methanolic extracts of roots, stem and leaves of Uraria picta were developed using HPTLC technique. These fingerprints will be useful for authentication as well as in differentiating the species from adulterants. These will also serve as a biochemical marker for this valuable species in pharmaceutical industries and plant systemic studies. Roots, stem and leaves of Uraria picta were further evaluated for quantification of an active ingredient lupeol to find out alternatives to roots. Results showed more content of lupeol in stem (0.048%, dry wt.) as compare to roots (0.017%, dry wt.) suggesting the utilization of stem in place of roots. It will avoid uprooting of this prestigious plant which ultimately will promote its conservation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chemical%20fingerprints" title="chemical fingerprints">chemical fingerprints</a>, <a href="https://publications.waset.org/abstracts/search?q=lupeol" title=" lupeol"> lupeol</a>, <a href="https://publications.waset.org/abstracts/search?q=quantification" title=" quantification"> quantification</a>, <a href="https://publications.waset.org/abstracts/search?q=Uraria%20picta" title=" Uraria picta"> Uraria picta</a> </p> <a href="https://publications.waset.org/abstracts/54865/hptlc-based-qualitative-and-quantitative-evaluation-of-uraria-picta-desv-a-dashmool-species" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54865.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">257</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">124</span> Generative Adversarial Network Based Fingerprint Anti-Spoofing Limitations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yehjune%20Heo">Yehjune Heo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fingerprint Anti-Spoofing approaches have been actively developed and applied in real-world applications. One of the main problems for Fingerprint Anti-Spoofing is not robust to unseen samples, especially in real-world scenarios. A possible solution will be to generate artificial, but realistic fingerprint samples and use them for training in order to achieve good generalization. This paper contains experimental and comparative results with currently popular GAN based methods and uses realistic synthesis of fingerprints in training in order to increase the performance. Among various GAN models, the most popular StyleGAN is used for the experiments. The CNN models were first trained with the dataset that did not contain generated fake images and the accuracy along with the mean average error rate were recorded. Then, the fake generated images (fake images of live fingerprints and fake images of spoof fingerprints) were each combined with the original images (real images of live fingerprints and real images of spoof fingerprints), and various CNN models were trained. The best performances for each CNN model, trained with the dataset of generated fake images and each time the accuracy and the mean average error rate, were recorded. We observe that current GAN based approaches need significant improvements for the Anti-Spoofing performance, although the overall quality of the synthesized fingerprints seems to be reasonable. We include the analysis of this performance degradation, especially with a small number of samples. In addition, we suggest several approaches towards improved generalization with a small number of samples, by focusing on what GAN based approaches should learn and should not learn. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anti-spoofing" title="anti-spoofing">anti-spoofing</a>, <a href="https://publications.waset.org/abstracts/search?q=CNN" title=" CNN"> CNN</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprint%20recognition" title=" fingerprint recognition"> fingerprint recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=GAN" title=" GAN"> GAN</a> </p> <a href="https://publications.waset.org/abstracts/131965/generative-adversarial-network-based-fingerprint-anti-spoofing-limitations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131965.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">184</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">123</span> Developing a Secure Iris Recognition System by Using Advance Convolutional Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kamyar%20Fakhr">Kamyar Fakhr</a>, <a href="https://publications.waset.org/abstracts/search?q=Roozbeh%20Salmani"> Roozbeh Salmani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Alphonse Bertillon developed the first biometric security system in the 1800s. Today, many governments and giant companies are considering or have procured biometrically enabled security schemes. Iris is a kaleidoscope of patterns and colors. Each individual holds a set of irises more unique than their thumbprint. Every single day, giant companies like Google and Apple are experimenting with reliable biometric systems. Now, after almost 200 years of improvements, face ID does not work with masks, it gives access to fake 3D images, and there is no global usage of biometric recognition systems as national identity (ID) card. The goal of this paper is to demonstrate the advantages of iris recognition overall biometric recognition systems. It make two extensions: first, we illustrate how a very large amount of internet fraud and cyber abuse is happening due to bugs in face recognition systems and in a very large dataset of 3.4M people; second, we discuss how establishing a secure global network of iris recognition devices connected to authoritative convolutional neural networks could be the safest solution to this dilemma. Another aim of this study is to provide a system that will prevent system infiltration caused by cyber-attacks and will block all wireframes to the data until the main user ceases the procedure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometric%20system" title="biometric system">biometric system</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title=" convolutional neural network"> convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=cyber-attack" title=" cyber-attack"> cyber-attack</a>, <a href="https://publications.waset.org/abstracts/search?q=secure" title=" secure"> secure</a> </p> <a href="https://publications.waset.org/abstracts/135501/developing-a-secure-iris-recognition-system-by-using-advance-convolutional-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135501.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">219</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">122</span> Preprocessing and Fusion of Multiple Representation of Finger Vein patterns using Conventional and Machine Learning techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tomas%20Trainys">Tomas Trainys</a>, <a href="https://publications.waset.org/abstracts/search?q=Algimantas%20Venckauskas"> Algimantas Venckauskas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Application of biometric features to the cryptography for human identification and authentication is widely studied and promising area of the development of high-reliability cryptosystems. Biometric cryptosystems typically are designed for patterns recognition, which allows biometric data acquisition from an individual, extracts feature sets, compares the feature set against the set stored in the vault and gives a result of the comparison. Preprocessing and fusion of biometric data are the most important phases in generating a feature vector for key generation or authentication. Fusion of biometric features is critical for achieving a higher level of security and prevents from possible spoofing attacks. The paper focuses on the tasks of initial processing and fusion of multiple representations of finger vein modality patterns. These tasks are solved by applying conventional image preprocessing methods and machine learning techniques, Convolutional Neural Network (SVM) method for image segmentation and feature extraction. An article presents a method for generating sets of biometric features from a finger vein network using several instances of the same modality. Extracted features sets were fused at the feature level. The proposed method was tested and compared with the performance and accuracy results of other authors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bio-cryptography" title="bio-cryptography">bio-cryptography</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=cryptographic%20key%20generation" title=" cryptographic key generation"> cryptographic key generation</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20fusion" title=" data fusion"> data fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20security" title=" information security"> information security</a>, <a href="https://publications.waset.org/abstracts/search?q=SVM" title=" SVM"> SVM</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=finger%20vein%20method." title=" finger vein method."> finger vein method.</a> </p> <a href="https://publications.waset.org/abstracts/97366/preprocessing-and-fusion-of-multiple-representation-of-finger-vein-patterns-using-conventional-and-machine-learning-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97366.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">121</span> Uniqueness of Fingerprint Biometrics to Human Dynasty: A Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siddharatha%20Sharma">Siddharatha Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the advent of technology and machines, the role of biometrics in society is taking an important place for secured living. Security issues are the major concern in today’s world and continue to grow in intensity and complexity. Biometrics based recognition, which involves precise measurement of the characteristics of living beings, is not a new method. Fingerprints are being used for several years by law enforcement and forensic agencies to identify the culprits and apprehend them. Biometrics is based on four basic principles i.e. (i) uniqueness, (ii) accuracy, (iii) permanency and (iv) peculiarity. In today’s world fingerprints are the most popular and unique biometrics method claiming a social benefit in the government sponsored programs. A remarkable example of the same is UIDAI (Unique Identification Authority of India) in India. In case of fingerprint biometrics the matching accuracy is very high. It has been observed empirically that even the identical twins also do not have similar prints. With the passage of time there has been an immense progress in the techniques of sensing computational speed, operating environment and the storage capabilities and it has become more user convenient. Only a small fraction of the population may be unsuitable for automatic identification because of genetic factors, aging, environmental or occupational reasons for example workers who have cuts and bruises on their hands which keep fingerprints changing. Fingerprints are limited to human beings only because of the presence of volar skin with corrugated ridges which are unique to this species. Fingerprint biometrics has proved to be a high level authentication system for identification of the human beings. Though it has limitations, for example it may be inefficient and ineffective if ridges of finger(s) or palm are moist authentication becomes difficult. This paper would focus on uniqueness of fingerprints to the human beings in comparison to other living beings and review the advancement in emerging technologies and their limitations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fingerprinting" title="fingerprinting">fingerprinting</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20beings" title=" human beings"> human beings</a>, <a href="https://publications.waset.org/abstracts/search?q=authentication" title=" authentication"> authentication</a> </p> <a href="https://publications.waset.org/abstracts/31939/uniqueness-of-fingerprint-biometrics-to-human-dynasty-a-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31939.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">120</span> Cheiloscopy and Dactylography in Relation to ABO Blood Groups: Egyptian vs. Malay Populations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manal%20Hassan%20Abdel%20Aziz">Manal Hassan Abdel Aziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatma%20Mohamed%20Magdy%20Badr%20El%20Dine"> Fatma Mohamed Magdy Badr El Dine</a>, <a href="https://publications.waset.org/abstracts/search?q=Nourhan%20Mohamed%20Mohamed%20Saeed"> Nourhan Mohamed Mohamed Saeed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Establishing association between lip print patterns and those of fingerprints as well as blood groups is of fundamental importance in the forensic identification domain. The first aim of the current study was to determine the prevalent types of ABO blood groups, lip prints and fingerprints patterns in both studied populations. Secondly, to analyze any relation found between the different print patterns and the blood groups, which would be valuable in identification purposes. The present study was conducted on 60 healthy volunteers, (30 males and 30 females) from each of the studied population. Lip prints and fingerprints were obtained and classified according to Tsuchihashi's classification and Michael Kuchen’s classification, respectively. The results show that the ulnar loop was the most frequent among both populations. Blood group A was the most frequent among Egyptians, while blood groups O and B were the predominant among Malaysians. Significant relations were observed between lip print patterns and fingerprint (in the second quadrant for Egyptian males and the first one for Malaysian). For Malaysian females, a statistically significant association was proved in the fourth quadrant. Regarding the blood groups, 89.5% of ulnar loops were significantly related to blood group A among Egyptian males. The results proved an association between the fingerprint pattern and the lip prints, as well as between the ABO blood group and the pattern of fingerprints. However, further researches with larger sample sizes need to be directed to approve the current results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ABO" title="ABO">ABO</a>, <a href="https://publications.waset.org/abstracts/search?q=cheiloscopy" title=" cheiloscopy"> cheiloscopy</a>, <a href="https://publications.waset.org/abstracts/search?q=dactylography" title=" dactylography"> dactylography</a>, <a href="https://publications.waset.org/abstracts/search?q=Egyptians" title=" Egyptians"> Egyptians</a>, <a href="https://publications.waset.org/abstracts/search?q=Malaysians" title=" Malaysians"> Malaysians</a> </p> <a href="https://publications.waset.org/abstracts/100037/cheiloscopy-and-dactylography-in-relation-to-abo-blood-groups-egyptian-vs-malay-populations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100037.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">219</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">119</span> Development of Latent Fingerprints on Non-Porous Surfaces Recovered from Fresh and Sea Water</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Somaya%20Madkour">A. Somaya Madkour</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Abeer%20sheta"> B. Abeer sheta</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Fatma%20Badr%20El%20Dine"> C. Fatma Badr El Dine</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Yasser%20Elwakeel"> D. Yasser Elwakeel</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Nermine%20AbdAllah"> E. Nermine AbdAllah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Criminal offenders have a fundamental goal not to leave any traces at the crime scene. Some may suppose that items recovered underwater will have no forensic value, therefore, they try to destroy the traces by throwing items in water. These traces are subjected to the destructive environmental effects. This can represent a challenge for Forensic experts investigating finger marks. Accordingly, the present study was conducted to determine the optimal method for latent fingerprints development on non-porous surfaces submerged in aquatic environments at different time interval. The two factors analyzed in this study were the nature of aquatic environment and length of submerged time. In addition, the quality of developed finger marks depending on the used method was also assessed. Therefore, latent fingerprints were deposited on metallic, plastic and glass objects and submerged in fresh or sea water for one, two, and ten days. After recovery, the items were subjected to cyanoacrylate fuming, black powder and small particle reagent processing and the prints were examined. Each print was evaluated according to fingerprint quality assessment scale. The present study demonstrated that the duration of submersion affects the quality of finger marks; the longer the duration, the worse the quality.The best results of visualization were achieved using cyanoacrylate either in fresh or sea water. This study has also revealed that the exposure to sea water had more destructive influence on the quality of detected finger marks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fingerprints" title="fingerprints">fingerprints</a>, <a href="https://publications.waset.org/abstracts/search?q=fresh%20water" title=" fresh water"> fresh water</a>, <a href="https://publications.waset.org/abstracts/search?q=sea" title=" sea"> sea</a>, <a href="https://publications.waset.org/abstracts/search?q=non-porous" title=" non-porous"> non-porous</a> </p> <a href="https://publications.waset.org/abstracts/34324/development-of-latent-fingerprints-on-non-porous-surfaces-recovered-from-fresh-and-sea-water" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34324.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">455</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">118</span> Age and Sex Identification among Egyptian Population Using Fingerprint Ridge Density</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nazih%20Ramadan">Nazih Ramadan</a>, <a href="https://publications.waset.org/abstracts/search?q=Manal%20Mohy-Eldine"> Manal Mohy-Eldine</a>, <a href="https://publications.waset.org/abstracts/search?q=Amani%20Hanoon"> Amani Hanoon</a>, <a href="https://publications.waset.org/abstracts/search?q=Alaa%20Shehab"> Alaa Shehab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and Aims: The study of fingerprints is widely used in providing a clue regarding identity. Age and gender identification from fingerprints is an important step in forensic anthropology in order to minimize the list of suspects search. The aim of this study was to determine finger ridge density and patterns among Egyptians, and to estimate age and gender using ridge densities. Materials and Methods: This study was conducted on 177 randomly-selected healthy Egyptian subjects (90 males and 87 females). They were divided into three age groups; Group (a): from 6-< 12 years, group (b) from 12-< 18 years and group (c) ≥ 18 years. Bilateral digital prints, from every subject, were obtained by the inking procedure. Ridge count per 25 mm² was determined together with assessment of ridge pattern type. Statistical analysis was done with references to different age and sex groups. Results: There was a statistical significant difference in ridge density between the different age groups; where younger ages had significantly higher ridge density than older ages. Females proved to have significantly higher ridge density than males. Also, there was a statistically significant negative correlation between age and ridge density. Ulnar loops were the most frequent pattern among Egyptians then whorls then arches then radial loops. Finally, different regression models were constructed to estimate age and gender from fingerprints ridge density. Conclusion: fingerprint ridge density can be used to identify both age and sex of subjects. Further studies are recommended on different populations, larger samples or using different methods of fingerprint recording and finger ridge counting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=age" title="age">age</a>, <a href="https://publications.waset.org/abstracts/search?q=sex%20identification" title=" sex identification"> sex identification</a>, <a href="https://publications.waset.org/abstracts/search?q=Egyptian%20population" title=" Egyptian population"> Egyptian population</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprints" title=" fingerprints"> fingerprints</a>, <a href="https://publications.waset.org/abstracts/search?q=ridge%20density" title=" ridge density"> ridge density</a> </p> <a href="https://publications.waset.org/abstracts/48687/age-and-sex-identification-among-egyptian-population-using-fingerprint-ridge-density" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48687.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">364</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">117</span> Fingerprint Image Encryption Using a 2D Chaotic Map and Elliptic Curve Cryptography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20M.%20S.%20Bandara">D. M. S. Bandara</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunqi%20Lei"> Yunqi Lei</a>, <a href="https://publications.waset.org/abstracts/search?q=Ye%20Luo"> Ye Luo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fingerprints are suitable as long-term markers of human identity since they provide detailed and unique individual features which are difficult to alter and durable over life time. In this paper, we propose an algorithm to encrypt and decrypt fingerprint images by using a specially designed Elliptic Curve Cryptography (ECC) procedure based on block ciphers. In addition, to increase the confusing effect of fingerprint encryption, we also utilize a chaotic-behaved method called Arnold Cat Map (ACM) for a 2D scrambling of pixel locations in our method. Experimental results are carried out with various types of efficiency and security analyses. As a result, we demonstrate that the proposed fingerprint encryption/decryption algorithm is advantageous in several different aspects including efficiency, security and flexibility. In particular, using this algorithm, we achieve a margin of about 0.1% in the test of Number of Pixel Changing Rate (NPCR) values comparing to the-state-of-the-art performances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arnold%20cat%20map" title="arnold cat map">arnold cat map</a>, <a href="https://publications.waset.org/abstracts/search?q=biometric%20encryption" title=" biometric encryption"> biometric encryption</a>, <a href="https://publications.waset.org/abstracts/search?q=block%20cipher" title=" block cipher"> block cipher</a>, <a href="https://publications.waset.org/abstracts/search?q=elliptic%20curve%20cryptography" title=" elliptic curve cryptography"> elliptic curve cryptography</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprint%20encryption" title=" fingerprint encryption"> fingerprint encryption</a>, <a href="https://publications.waset.org/abstracts/search?q=Koblitz%E2%80%99s%20%20encoding" title=" Koblitz’s encoding"> Koblitz’s encoding</a> </p> <a href="https://publications.waset.org/abstracts/96251/fingerprint-image-encryption-using-a-2d-chaotic-map-and-elliptic-curve-cryptography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96251.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">116</span> Facial Biometric Privacy Using Visual Cryptography: A Fundamental Approach to Enhance the Security of Facial Biometric Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Devika%20Tanna">Devika Tanna</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 'Biometrics' means 'life measurement' but the term is usually associated with the use of unique physiological characteristics to identify an individual. It is important to secure the privacy of digital face image that is stored in central database. To impart privacy to such biometric face images, first, the digital face image is split into two host face images such that, each of it gives no idea of existence of the original face image and, then each cover image is stored in two different databases geographically apart. When both the cover images are simultaneously available then only we can access that original image. This can be achieved by using the XM2VTS and IMM face database, an adaptive algorithm for spatial greyscale. The algorithm helps to select the appropriate host images which are most likely to be compatible with the secret image stored in the central database based on its geometry and appearance. The encryption is done using GEVCS which results in a reconstructed image identical to the original private image. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20algorithm" title="adaptive algorithm">adaptive algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=database" title=" database"> database</a>, <a href="https://publications.waset.org/abstracts/search?q=host%20images" title=" host images"> host images</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy" title=" privacy"> privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20cryptography" title=" visual cryptography"> visual cryptography</a> </p> <a href="https://publications.waset.org/abstracts/100926/facial-biometric-privacy-using-visual-cryptography-a-fundamental-approach-to-enhance-the-security-of-facial-biometric-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100926.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">115</span> Low-Cost Embedded Biometric System Based on Fingervein Modality</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Randa%20Boukhris">Randa Boukhris</a>, <a href="https://publications.waset.org/abstracts/search?q=Alima%20Damak"> Alima Damak</a>, <a href="https://publications.waset.org/abstracts/search?q=Dorra%20Sellami"> Dorra Sellami</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fingervein biometric authentication is one of the most popular and accurate technologies. However, low cost embedded solution is still an open problem. In this paper, a real-time implementation of fingervein recognition process embedded in Raspberry-Pi has been proposed. The use of Raspberry-Pi reduces overall system cost and size while allowing an easy user interface. Implementation of a target technology has guided to opt some specific parallel and simple processing algorithms. In the proposed system, we use four structural directional kernel elements for filtering finger vein images. Then, a Top-Hat and Bottom-Hat kernel filters are used to enhance the visibility and the appearance of venous images. For feature extraction step, a simple Local Directional Code (LDC) descriptor is applied. The proposed system presents an Error Equal Rate (EER) and Identification Rate (IR), respectively, equal to 0.02 and 98%. Furthermore, experimental results show that real-time operations have good performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometric" title="biometric">biometric</a>, <a href="https://publications.waset.org/abstracts/search?q=Bottom-Hat" title=" Bottom-Hat"> Bottom-Hat</a>, <a href="https://publications.waset.org/abstracts/search?q=Fingervein" title=" Fingervein"> Fingervein</a>, <a href="https://publications.waset.org/abstracts/search?q=LDC" title=" LDC"> LDC</a>, <a href="https://publications.waset.org/abstracts/search?q=Rasberry-Pi" title=" Rasberry-Pi"> Rasberry-Pi</a>, <a href="https://publications.waset.org/abstracts/search?q=ROI" title=" ROI"> ROI</a>, <a href="https://publications.waset.org/abstracts/search?q=Top-Hat" title=" Top-Hat"> Top-Hat</a> </p> <a href="https://publications.waset.org/abstracts/86829/low-cost-embedded-biometric-system-based-on-fingervein-modality" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86829.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">205</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">114</span> Detection of Some Drugs of Abuse from Fingerprints Using Liquid Chromatography-Mass Spectrometry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ragaa%20T.%20Darwish">Ragaa T. Darwish</a>, <a href="https://publications.waset.org/abstracts/search?q=Maha%20A.%20Demellawy"> Maha A. Demellawy</a>, <a href="https://publications.waset.org/abstracts/search?q=Haidy%20M.%20Megahed"> Haidy M. Megahed</a>, <a href="https://publications.waset.org/abstracts/search?q=Doreen%20N.%20Younan"> Doreen N. Younan</a>, <a href="https://publications.waset.org/abstracts/search?q=Wael%20S.%20Kholeif"> Wael S. Kholeif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The testing of drug abuse is authentic in order to affirm the misuse of drugs. Several analytical approaches have been developed for the detection of drugs of abuse in pharmaceutical and common biological samples, but few methodologies have been created to identify them from fingerprints. Liquid Chromatography-Mass Spectrometry (LC-MS) plays a major role in this field. The current study aimed at assessing the possibility of detection of some drugs of abuse (tramadol, clonazepam, and phenobarbital) from fingerprints using LC-MS in drug abusers. The aim was extended in order to assess the possibility of detection of the above-mentioned drugs in fingerprints of drug handlers till three days of handling the drugs. The study was conducted on randomly selected adult individuals who were either drug abusers seeking treatment at centers of drug dependence in Alexandria, Egypt or normal volunteers who were asked to handle the different studied drugs (drug handlers). An informed consent was obtained from all individuals. Participants were classified into 3 groups; control group that consisted of 50 normal individuals (neither abusing nor handling drugs), drug abuser group that consisted of 30 individuals who abused tramadol, clonazepam or phenobarbital (10 individuals for each drug) and drug handler group that consisted of 50 individuals who were touching either the powder of drugs of abuse: tramadol, clonazepam or phenobarbital (10 individuals for each drug) or the powder of the control substances which were of similar appearance (white powder) and that might be used in the adulteration of drugs of abuse: acetyl salicylic acid and acetaminophen (10 individuals for each drug). Samples were taken from the handler individuals for three consecutive days for the same individual. The diagnosis of drug abusers was based on the current Diagnostic and Statistical Manual of Mental disorders (DSM-V) and urine screening tests using immunoassay technique. Preliminary drug screening tests of urine samples were also done for drug handlers and the control groups to indicate the presence or absence of the studied drugs of abuse. Fingerprints of all participants were then taken on a filter paper previously soaked with methanol to be analyzed by LC-MS using SCIEX Triple Quad or QTRAP 5500 System. The concentration of drugs in each sample was calculated using the regression equations between concentration in ng/ml and peak area of each reference standard. All fingerprint samples from drug abusers showed positive results with LC-MS for the tested drugs, while all samples from the control individuals showed negative results. A significant difference was noted between the concentration of the drugs and the duration of abuse. Tramadol, clonazepam, and phenobarbital were also successfully detected from fingerprints of drug handlers till 3 days of handling the drugs. The mean concentration of the chosen drugs of abuse among the handlers group decreased when the days of samples intake increased. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drugs%20of%20abuse" title="drugs of abuse">drugs of abuse</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprints" title=" fingerprints"> fingerprints</a>, <a href="https://publications.waset.org/abstracts/search?q=liquid%20chromatography%E2%80%93mass%20spectrometry" title=" liquid chromatography–mass spectrometry"> liquid chromatography–mass spectrometry</a>, <a href="https://publications.waset.org/abstracts/search?q=tramadol" title=" tramadol"> tramadol</a> </p> <a href="https://publications.waset.org/abstracts/102148/detection-of-some-drugs-of-abuse-from-fingerprints-using-liquid-chromatography-mass-spectrometry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102148.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">121</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">113</span> Development of a Secured Telemedical System Using Biometric Feature</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20Iyare">O. Iyare</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20H.%20Afolayan"> A. H. Afolayan</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20T.%20Oluwadare"> O. T. Oluwadare</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20K.%20Alese"> B. K. Alese </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Access to advanced medical services has been one of the medical challenges faced by our present society especially in distant geographical locations which may be inaccessible. Then the need for telemedicine arises through which live videos of a doctor can be streamed to a patient located anywhere in the world at any time. Patients’ medical records contain very sensitive information which should not be made accessible to unauthorized people in order to protect privacy, integrity and confidentiality. This research work focuses on a more robust security measure which is biometric (fingerprint) as a form of access control to data of patients by the medical specialist/practitioner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometrics" title="biometrics">biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=telemedicine" title=" telemedicine"> telemedicine</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy" title=" privacy"> privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20information" title=" patient information"> patient information</a> </p> <a href="https://publications.waset.org/abstracts/43498/development-of-a-secured-telemedical-system-using-biometric-feature" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43498.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">289</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">112</span> Application of Signature Verification Models for Document Recognition </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Boris%20M.%20Fedorov">Boris M. Fedorov</a>, <a href="https://publications.waset.org/abstracts/search?q=Liudmila%20P.%20Goncharenko"> Liudmila P. Goncharenko</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergey%20A.%20Sybachin"> Sergey A. Sybachin</a>, <a href="https://publications.waset.org/abstracts/search?q=Natalia%20A.%20Mamedova"> Natalia A. Mamedova</a>, <a href="https://publications.waset.org/abstracts/search?q=Ekaterina%20V.%20Makarenkova"> Ekaterina V. Makarenkova</a>, <a href="https://publications.waset.org/abstracts/search?q=Saule%20Rakhimova"> Saule Rakhimova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In modern economic conditions, the question of the possibility of correct recognition of a signature on digital documents in order to verify the expression of will or confirm a certain operation is relevant. The additional complexity of processing lies in the dynamic variability of the signature for each individual, as well as in the way information is processed because the signature refers to biometric data. The article discusses the issues of using artificial intelligence models in order to improve the quality of signature confirmation in document recognition. The analysis of several possible options for using the model is carried out. The results of the study are given, in which it is possible to correctly determine the authenticity of the signature on small samples. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=signature%20recognition" title="signature recognition">signature recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=biometric%20data" title=" biometric data"> biometric data</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/131387/application-of-signature-verification-models-for-document-recognition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131387.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">111</span> Primary-Color Emitting Photon Energy Storage Nanophosphors for Developing High Contrast Latent Fingerprints</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20Swati">G. Swati</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Haranath"> D. Haranath</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Commercially available long afterglow /persistent phosphors are proprietary materials and hence the exact composition and phase responsible for their luminescent characteristics such as initial intensity and afterglow luminescence time are not known. Further to generate various emission colors, commercially available persistence phosphors are physically blended with fluorescent organic dyes such as rodhamine, kiton and methylene blue etc. Blending phosphors with organic dyes results into complete color coverage in visible spectra, however with time, such phosphors undergo thermal and photo-bleaching. This results in the loss of their true emission color. Hence, the current work is dedicated studies on inorganic based thermally and chemically stable primary color emitting nanophosphors namely SrAl2O4:Eu2+, Dy3+, (CaZn)TiO3:Pr3+, and Sr2MgSi2O7:Eu2+, Dy3+. SrAl2O4: Eu2+, Dy3+ phosphor exhibits a strong excitation in UV and visible region (280-470 nm) with a broad emission peak centered at 514 nm is the characteristic emission of parity allowed 4f65d1→4f7 transitions of Eu2+ (8S7/2→2D5/2). Sunlight excitable Sr2MgSi2O7:Eu2+,Dy3+ nanophosphors emits blue color (464 nm) with Commercial international de I’Eclairage (CIE) coordinates to be (0.15, 0.13) with a color purity of 74 % with afterglow time of > 5 hours for dark adapted human eyes. (CaZn)TiO3:Pr3+ phosphor system possess high color purity (98%) which emits intense, stable and narrow red emission at 612 nm due intra 4f transitions (1D2 → 3H4) with afterglow time of 0.5 hour. Unusual property of persistence luminescence of these nanophoshphors supersedes background effects without losing sensitive information these nanophosphors offer several advantages of visible light excitation, negligible substrate interference, high contrast bifurcation of ridge pattern, non-toxic nature revealing finger ridge details of the fingerprints. Both level 1 and level 2 features from a fingerprint can be studied which are useful for used classification, indexing, comparison and personal identification. facile methodology to extract high contrast fingerprints on non-porous and porous substrates using a chemically inert, visible light excitable, and nanosized phosphorescent label in the dark has been presented. The chemistry of non-covalent physisorption interaction between the long afterglow phosphor powder and sweat residue in fingerprints has been discussed in detail. Real-time fingerprint development on porous and non-porous substrates has also been performed. To conclude, apart from conventional dark vision applications, as prepared primary color emitting afterglow phosphors are potentional candidate for developing high contrast latent fingerprints. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fingerprints" title="fingerprints">fingerprints</a>, <a href="https://publications.waset.org/abstracts/search?q=luminescence" title=" luminescence"> luminescence</a>, <a href="https://publications.waset.org/abstracts/search?q=persistent%20phosphors" title=" persistent phosphors"> persistent phosphors</a>, <a href="https://publications.waset.org/abstracts/search?q=rare%20earth" title=" rare earth"> rare earth</a> </p> <a href="https://publications.waset.org/abstracts/95191/primary-color-emitting-photon-energy-storage-nanophosphors-for-developing-high-contrast-latent-fingerprints" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95191.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">221</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=biometric%20fingerprints&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=biometric%20fingerprints&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=biometric%20fingerprints&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=biometric%20fingerprints&page=5">5</a></li> <li class="page-item"><a class="page-link" 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