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biometric</title> <meta name="description" content="Search results for: behavioural biometric"> <meta name="keywords" content="behavioural biometric"> <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 d-lg-none 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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="behavioural biometric"> <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> 418</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: behavioural biometric</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">418</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">417</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">416</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">390</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">415</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">755</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">414</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">413</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">412</span> Behavioral Problems Among Down Syndrome Children in the Special Education Complex Peshawar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Huma%20Atta">Huma Atta</a>, <a href="https://publications.waset.org/abstracts/search?q=Ishrat%20Rehman"> Ishrat Rehman</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Umair"> Muhammad Umair</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: To find out the effectiveness of Dr. Stein behavioural modification strategies among Down syndrome children’s behavioural problems. Material & Methods: We took a group of individuals (aged 8-16) having Down syndrome from national special education complex, Peshawar. They were assessed through the behavioural problem index to give us an idea on their behaviour problems, those with a behavioural problem were kept in therapy for further sessions to help them improve. Results: A treatment plan was made according to the extracted behavioural problems of Down syndrome children. Dr. Stein recommended behavioural modification treatment strategies were used for behavioural modification of Down syndrome children (Routine, reward, choice, redirection and consistency). Pre-intervention (M=69.11, SD=6.27) and post-intervention (M=61.33, SD=6.51) conditions; t (8) =2.70, p=0.027. Conclusion: After the successful completion of 9 sessions with Down syndrome children, their behavioural problems were reassessed. Results indicated that Dr. Stein behavioural modification strategy is an effective treatment plan for the modification of behavioural problems among Down syndrome children. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavior" title="behavior">behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=down%20syndrome" title=" down syndrome"> down syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=treatment" title=" treatment"> treatment</a>, <a href="https://publications.waset.org/abstracts/search?q=strategies" title=" strategies"> strategies</a> </p> <a href="https://publications.waset.org/abstracts/193314/behavioral-problems-among-down-syndrome-children-in-the-special-education-complex-peshawar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193314.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">11</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">411</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">410</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">409</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">218</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">408</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">407</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">406</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">405</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">404</span> Students’ Willingness to Use Public Computing Facilities at a Library</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Norbayah%20Mohd%20Suki">Norbayah Mohd Suki</a>, <a href="https://publications.waset.org/abstracts/search?q=Norazah%20Mohd%20Suki"> Norazah Mohd Suki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to examine relationships between attitude, self-efficacy, and subjective norm with students’ behavioural intention to use public computing facilities at a library. Data was collected from 200 undergraduate students enrolled at a higher learning institution in the Federal Territory of Labuan, Malaysia via a structured questionnaire comprising closed-ended questions. Data was analyzed using multiple regression analysis. The results show that students’ behavioural intention to use public computing facilities at the library is widely affected by subjective norm factor i.e. influence of the support of family members, friends and neighbours. The findings of this study provide a better understanding of factors likely to influence students’ behavioural intention to use public computing facilities at a library. It also offers valuable insights into factors which university librarians need to focus on to improve students’ behavioural intention to actively use public computing facilities at a library for quality information retrieval. Direction for future research is also presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attitude" title="attitude">attitude</a>, <a href="https://publications.waset.org/abstracts/search?q=self-efficacy" title=" self-efficacy"> self-efficacy</a>, <a href="https://publications.waset.org/abstracts/search?q=subjective%20norm" title=" subjective norm"> subjective norm</a>, <a href="https://publications.waset.org/abstracts/search?q=behavioural%20intention" title=" behavioural intention"> behavioural intention</a> </p> <a href="https://publications.waset.org/abstracts/27429/students-willingness-to-use-public-computing-facilities-at-a-library" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27429.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">446</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">403</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">402</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">401</span> The DC Behavioural Electrothermal Model of Silicon Carbide Power MOSFETs under SPICE</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lakrim%20Abderrazak">Lakrim Abderrazak</a>, <a href="https://publications.waset.org/abstracts/search?q=Tahri%20Driss"> Tahri Driss</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a new behavioural electrothermal model of power Silicon Carbide (SiC) MOSFET under SPICE. This model is based on the MOS model level 1 of SPICE, in which phenomena such as Drain Leakage Current IDSS, On-State Resistance RDSon, gate Threshold voltage VGSth, the transconductance (gfs), I-V Characteristics Body diode, temperature-dependent and self-heating are included and represented using behavioural blocks ABM (Analog Behavioural Models) of Spice library. This ultimately makes this model flexible and easily can be integrated into the various Spice -based simulation softwares. The internal junction temperature of the component is calculated on the basis of the thermal model through the electric power dissipated inside and its thermal impedance in the form of the localized Foster canonical network. The model parameters are extracted from manufacturers' data (curves data sheets) using polynomial interpolation with the method of simulated annealing (S A) and weighted least squares (WLS). This model takes into account the various important phenomena within transistor. The effectiveness of the presented model has been verified by Spice simulation results and as well as by data measurement for SiC MOS transistor C2M0025120D CREE (1200V, 90A). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SiC%20power%20MOSFET" title="SiC power MOSFET">SiC power MOSFET</a>, <a href="https://publications.waset.org/abstracts/search?q=DC%20electro-thermal%20model" title=" DC electro-thermal model"> DC electro-thermal model</a>, <a href="https://publications.waset.org/abstracts/search?q=ABM%20Spice%20library" title=" ABM Spice library"> ABM Spice library</a>, <a href="https://publications.waset.org/abstracts/search?q=SPICE%20modelling" title=" SPICE modelling"> SPICE modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=behavioural%20model" title=" behavioural model"> behavioural model</a>, <a href="https://publications.waset.org/abstracts/search?q=C2M0025120D%20CREE." title=" C2M0025120D CREE."> C2M0025120D CREE.</a> </p> <a href="https://publications.waset.org/abstracts/20601/the-dc-behavioural-electrothermal-model-of-silicon-carbide-power-mosfets-under-spice" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20601.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">580</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">400</span> An Investigation into Kenyan Teachers’ Views of Children’s Emotional and Behavioural Difficulties</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fred%20Mageto">Fred Mageto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A great number of children in mainstream schools across Kenya are currently living with emotional, behavioural difficulties. This study aims to explore teachers’ perceptions of children’s emotional and behavioural difficulties (EBD) and their attributions of the causes of EBD. The relevance of this area of study to current educational practice is illustrated in the fact that primary school teachers in Kenya find classroom behaviour problems one of the major difficulties they face. The information presented in this study was gathered from 182 teachers that responded back to the survey, of whom 27 teachers were later interviewed. In general, teachers’ perceptions of EBD reflect personal experience, training, and attitudes. Teachers appear from this study to use words such as indifferent, frightened, withdrawn, aggressive, disobedient, hyperactive, less ambitious, lacking concentration, and academically weak to describe pupils with emotional and behavioural difficulties (EBD). The implications of this study are envisaged as being extremely important to support teachers addressing children’s EBD and shed light on the contributing factors to EBD for a successful teaching-learning process in Libyan primary schools. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=teachers" title="teachers">teachers</a>, <a href="https://publications.waset.org/abstracts/search?q=children" title=" children"> children</a>, <a href="https://publications.waset.org/abstracts/search?q=learning" title=" learning"> learning</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional%20and%20behaviour%20difficulties" title=" emotional and behaviour difficulties"> emotional and behaviour difficulties</a> </p> <a href="https://publications.waset.org/abstracts/135783/an-investigation-into-kenyan-teachers-views-of-childrens-emotional-and-behavioural-difficulties" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135783.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">163</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">399</span> Association between Hypertensive Disorders of Pregnancy and the Development of Offspring Mental and Behavioural Problems: Systematic Review and Meta-Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Berihun%20Dachew">Berihun Dachew</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20Mamun"> Abdullah Mamun</a>, <a href="https://publications.waset.org/abstracts/search?q=Joemer%20%20%20Maravilla"> Joemer Maravilla</a>, <a href="https://publications.waset.org/abstracts/search?q=Rosa%20Alati"> Rosa Alati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Hypertensive disorders of pregnancy are a major cause of maternal and childhood morbidity and mortality worldwide. However, its effect on offspring mental and behavioural disorders is unclear. Aims:The aim of this study was to provide the best scientific evidence regarding the association between hypertensive disorders of pregnancy and offspring mental and behavioural problems. Methods: We systematically searched Scopus, PubMed, Cochrane, EMBASE, CINAH and PsycINFO databases. A total of 23 studies (11 included in meta-analysis) were identified. A qualitative analysis was conducted by summarizing, comparing, and contrasting the abstracted data for all included studies. For quantitative analysis, relative risk (RR) with 95% confidence interval (95% CI) was used as pooled effect size. Heterogeneity was assessed by measuring Cochran’s Q and I2 test statistics. Results: Of the 23 studies included in this review, 15 studies found that hypertensive disorders of pregnancy had a negative impact for at least one mental or behavioural problem. The pooled effect of 11 studies included in the meta-analysis showed that preeclampsia was associated with increased risk of offspring schizophrenia (RR=1.37; 95% CI, 1.08-1.72). Conclusions: Intrauterine exposure to pre-eclampsia increased the risk of schizophrenia among offspring. However, we found inconclusive finding on the effect of hypertensive disorders of pregnancy and other mental and behavioural problems. Further high quality, large sample, mother child cohort studies are needed to further progress this area of research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavioural%20disorders" title="behavioural disorders">behavioural disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=hypertensive%20disorders%20of%20pregnancy" title=" hypertensive disorders of pregnancy"> hypertensive disorders of pregnancy</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20disorders" title=" mental disorders"> mental disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=offspring" title=" offspring"> offspring</a> </p> <a href="https://publications.waset.org/abstracts/73473/association-between-hypertensive-disorders-of-pregnancy-and-the-development-of-offspring-mental-and-behavioural-problems-systematic-review-and-meta-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73473.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">238</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">398</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">397</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">396</span> Intelligent Recognition Tools for Industrial Automation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amin%20%20Nazerzadeh">Amin Nazerzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Afsaneh%20%20Nouri%20Houshyar"> Afsaneh Nouri Houshyar </a>, <a href="https://publications.waset.org/abstracts/search?q=Azadeh%20%20Noori%20Hoshyar"> Azadeh Noori Hoshyar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the rapid growing of information technology, the industry and manufacturing systems are becoming more automated. Therefore, achieving the highly accurate automatic systems with reliable security is becoming more critical. Biometrics that refers to identifying individual based on physiological or behavioral traits are unique identifiers provide high reliability and security in different industrial systems. As biometric cannot easily be transferred between individuals or copied, it has been receiving extensive attention. Due to the importance of security applications, this paper provides an overview on biometrics and discuss about background, types and applications of biometric as an effective tool for the industrial applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Industial%20and%20manufacturing%20applications" title="Industial and manufacturing applications">Industial and manufacturing applications</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligence%20and%20security" title=" intelligence and security"> intelligence and security</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20technology" title=" information technology"> information technology</a>, <a href="https://publications.waset.org/abstracts/search?q=recognition%3B%20security%20technology%3B%20biometrics" title=" recognition; security technology; biometrics "> recognition; security technology; biometrics </a> </p> <a href="https://publications.waset.org/abstracts/123207/intelligent-recognition-tools-for-industrial-automation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123207.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">155</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">395</span> Nudge Plus: Incorporating Reflection into Behavioural Public Policy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanchayan%20Banerjee">Sanchayan Banerjee</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20John"> Peter John</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nudge plus is a modification of the toolkit of behavioural public policy. It incorporates an element of reflection¾the plus¾into the delivery of a nudge, either blended in or made proximate. Nudge plus builds on recent work combining heuristics and deliberation. It may be used to design pro-social interventions that help preserve the autonomy of the agent. The argument turns on seminal work on dual systems, which presents a subtler relationship between fast and slow thinking than commonly assumed in the classic literature in behavioural public policy. We review classic and recent work on dual processes to show that a hybrid is more plausible than the default interventionist or parallel competitive framework. We define nudge plus, set out what reflection could entail, provide examples, outline causal mechanisms, and draw testable implications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nudge" title="nudge">nudge</a>, <a href="https://publications.waset.org/abstracts/search?q=nudge%20plus" title=" nudge plus"> nudge plus</a>, <a href="https://publications.waset.org/abstracts/search?q=think" title=" think"> think</a>, <a href="https://publications.waset.org/abstracts/search?q=dual%20process%20theory" title=" dual process theory"> dual process theory</a> </p> <a href="https://publications.waset.org/abstracts/133306/nudge-plus-incorporating-reflection-into-behavioural-public-policy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133306.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">192</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">394</span> A Machine Learning Framework Based on Biometric Measurements for Automatic Fetal Head Anomalies Diagnosis in Ultrasound Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hanene%20Sahli">Hanene Sahli</a>, <a href="https://publications.waset.org/abstracts/search?q=Aymen%20Mouelhi"> Aymen Mouelhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Marwa%20Hajji"> Marwa Hajji</a>, <a href="https://publications.waset.org/abstracts/search?q=Amine%20Ben%20Slama"> Amine Ben Slama</a>, <a href="https://publications.waset.org/abstracts/search?q=Mounir%20Sayadi"> Mounir Sayadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Farhat%20Fnaiech"> Farhat Fnaiech</a>, <a href="https://publications.waset.org/abstracts/search?q=Radhwane%20Rachdi"> Radhwane Rachdi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fetal abnormality is still a public health problem of interest to both mother and baby. Head defect is one of the most high-risk fetal deformities. Fetal head categorization is a sensitive task that needs a massive attention from neurological experts. In this sense, biometrical measurements can be extracted by gynecologist doctors and compared with ground truth charts to identify normal or abnormal growth. The fetal head biometric measurements such as Biparietal Diameter (BPD), Occipito-Frontal Diameter (OFD) and Head Circumference (HC) needs to be monitored, and expert should carry out its manual delineations. This work proposes a new approach to automatically compute BPD, OFD and HC based on morphological characteristics extracted from head shape. Hence, the studied data selected at the same Gestational Age (GA) from the fetal Ultrasound images (US) are classified into two categories: Normal and abnormal. The abnormal subjects include hydrocephalus, microcephaly and dolichocephaly anomalies. By the use of a support vector machines (SVM) method, this study achieved high classification for automated detection of anomalies. The proposed method is promising although it doesn't need expert interventions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biometric%20measurements" title="biometric measurements">biometric measurements</a>, <a href="https://publications.waset.org/abstracts/search?q=fetal%20head%20malformations" title=" fetal head malformations"> fetal head malformations</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning%20methods" title=" machine learning methods"> machine learning methods</a>, <a href="https://publications.waset.org/abstracts/search?q=US%20images" title=" US images"> US images</a> </p> <a href="https://publications.waset.org/abstracts/93496/a-machine-learning-framework-based-on-biometric-measurements-for-automatic-fetal-head-anomalies-diagnosis-in-ultrasound-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93496.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">288</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">393</span> A User Identification Technique to Access Big Data Using Cloud Services</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20R.%20Manu">A. R. Manu</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20K.%20Agrawal"> V. K. Agrawal</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20N.%20Balasubramanya%20Murthy"> K. N. Balasubramanya Murthy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Authentication is required in stored database systems so that only authorized users can access the data and related cloud infrastructures. This paper proposes an authentication technique using multi-factor and multi-dimensional authentication system with multi-level security. The proposed technique is likely to be more robust as the probability of breaking the password is extremely low. This framework uses a multi-modal biometric approach and SMS to enforce additional security measures with the conventional Login/password system. The robustness of the technique is demonstrated mathematically using a statistical analysis. This work presents the authentication system along with the user authentication architecture diagram, activity diagrams, data flow diagrams, sequence diagrams, and algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=design" title="design">design</a>, <a href="https://publications.waset.org/abstracts/search?q=implementation%20algorithms" title=" implementation algorithms"> implementation algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a>, <a href="https://publications.waset.org/abstracts/search?q=biometric%20approach" title=" biometric approach"> biometric approach</a> </p> <a href="https://publications.waset.org/abstracts/7131/a-user-identification-technique-to-access-big-data-using-cloud-services" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7131.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">476</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">392</span> Multi Biomertric Personal Identification System Based On Hybird Intellegence Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Laheeb%20M.%20Ibrahim">Laheeb M. Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20A.%20Salih"> Ibrahim A. Salih</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometrics is a technology that has been widely used in many official and commercial identification applications. The increased concerns in security during recent years (especially during the last decades) have essentially resulted in more attention being given to biometric-based verification techniques. Here, a novel fusion approach of palmprint, dental traits has been suggested. These traits which are authentication techniques have been employed in a range of biometric applications that can identify any postmortem PM person and antemortem AM. Besides improving the accuracy, the fusion of biometrics has several advantages such as increasing, deterring spoofing activities and reducing enrolment failure. In this paper, a first unimodel biometric system has been made by using (palmprint and dental) traits, for each one classification applying an artificial neural network and a hybrid technique that combines swarm intelligence and neural network together, then attempt has been made to combine palmprint and dental biometrics. Principally, the fusion of palmprint and dental biometrics and their potential application has been explored as biometric identifiers. To address this issue, investigations have been carried out about the relative performance of several statistical data fusion techniques for integrating the information in both unimodal and multimodal biometrics. Also the results of the multimodal approach have been compared with each one of these two traits authentication approaches. This paper studies the features and decision fusion levels in multimodal biometrics. To determine the accuracy of GAR to parallel system decision-fusion including (AND, OR, Majority fating) has been used. The backpropagation method has been used for classification and has come out with result (92%, 99%, 97%) respectively for GAR, while the GAR) for this algorithm using hybrid technique for classification (95%, 99%, 98%) respectively. To determine the accuracy of the multibiometric system for feature level fusion has been used, while the same preceding methods have been used for classification. The results have been (98%, 99%) respectively while to determine the GAR of feature level different methods have been used and have come out with (98%). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=back%20propagation%20neural%20network%20BP%20ANN" title="back propagation neural network BP ANN">back propagation neural network BP ANN</a>, <a href="https://publications.waset.org/abstracts/search?q=multibiometric%20system" title=" multibiometric system"> multibiometric system</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20system%20decision-fusion" title=" parallel system decision-fusion"> parallel system decision-fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=practical%20swarm%20intelligent%20PSO" title=" practical swarm intelligent PSO"> practical swarm intelligent PSO</a> </p> <a href="https://publications.waset.org/abstracts/23856/multi-biomertric-personal-identification-system-based-on-hybird-intellegence-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23856.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">532</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">391</span> Identity Verification Using k-NN Classifiers and Autistic Genetic Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fuad%20M.%20Alkoot">Fuad M. Alkoot</a> </p> <p class="card-text"><strong>Abstract:</strong></p> DNA data have been used in forensics for decades. However, current research looks at using the DNA as a biometric identity verification modality. The goal is to improve the speed of identification. We aim at using gene data that was initially used for autism detection to find if and how accurate is this data for identification applications. Mainly our goal is to find if our data preprocessing technique yields data useful as a biometric identification tool. We experiment with using the nearest neighbor classifier to identify subjects. Results show that optimal classification rate is achieved when the test set is corrupted by normally distributed noise with zero mean and standard deviation of 1. The classification rate is close to optimal at higher noise standard deviation reaching 3. This shows that the data can be used for identity verification with high accuracy using a simple classifier such as the k-nearest neighbor (k-NN).  <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=genetic%20data" title=" genetic data"> genetic data</a>, <a href="https://publications.waset.org/abstracts/search?q=identity%20verification" title=" identity verification"> identity verification</a>, <a href="https://publications.waset.org/abstracts/search?q=k%20nearest%20neighbor" title=" k nearest neighbor"> k nearest neighbor</a> </p> <a href="https://publications.waset.org/abstracts/75552/identity-verification-using-k-nn-classifiers-and-autistic-genetic-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75552.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">258</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">390</span> Heart-Rate Resistance Electrocardiogram Identification Based on Slope-Oriented Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tsu-Wang%20Shen">Tsu-Wang Shen</a>, <a href="https://publications.waset.org/abstracts/search?q=Shan-Chun%20Chang"> Shan-Chun Chang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chih-Hsien%20Wang"> Chih-Hsien Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Te-Chao%20Fang"> Te-Chao Fang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For electrocardiogram (ECG) biometrics system, it is a tedious process to pre-install user’s high-intensity heart rate (HR) templates in ECG biometric systems. Based on only resting enrollment templates, it is a challenge to identify human by using ECG with the high-intensity HR caused from exercises and stress. This research provides a heartbeat segment method with slope-oriented neural networks against the ECG morphology changes due to high intensity HRs. The method has overall system accuracy at 97.73% which includes six levels of HR intensities. A cumulative match characteristic curve is also used to compare with other traditional ECG biometric methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=high-intensity%20heart%20rate" title="high-intensity heart rate">high-intensity heart rate</a>, <a href="https://publications.waset.org/abstracts/search?q=heart%20rate%20resistant" title=" heart rate resistant"> heart rate resistant</a>, <a href="https://publications.waset.org/abstracts/search?q=ECG%20human%20identification" title=" ECG human identification"> ECG human identification</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20based%20artificial%20neural%20network" title=" decision based artificial neural network"> decision based artificial neural network</a> </p> <a href="https://publications.waset.org/abstracts/53603/heart-rate-resistance-electrocardiogram-identification-based-on-slope-oriented-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53603.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">435</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">389</span> Fusion of Finger Inner Knuckle Print and Hand Geometry Features to Enhance the Performance of Biometric Verification System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20L.%20Anitha">M. L. Anitha</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20A.%20Radhakrishna%20Rao"> K. A. Radhakrishna Rao </a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the advent of modern computing technology, there is an increased demand for developing recognition systems that have the capability of verifying the identity of individuals. Recognition systems are required by several civilian and commercial applications for providing access to secured resources. Traditional recognition systems which are based on physical identities are not sufficiently reliable to satisfy the security requirements due to the use of several advances of forgery and identity impersonation methods. Recognizing individuals based on his/her unique physiological characteristics known as biometric traits is a reliable technique, since these traits are not transferable and they cannot be stolen or lost. Since the performance of biometric based recognition system depends on the particular trait that is utilized, the present work proposes a fusion approach which combines Inner knuckle print (IKP) trait of the middle, ring and index fingers with the geometrical features of hand. The hand image captured from a digital camera is preprocessed to find finger IKP as region of interest (ROI) and hand geometry features. Geometrical features are represented as the distances between different key points and IKP features are extracted by applying local binary pattern descriptor on the IKP ROI. The decision level AND fusion was adopted, which has shown improvement in performance of the combined scheme. The proposed approach is tested on the database collected at our institute. Proposed approach is of significance since both hand geometry and IKP features can be extracted from the palm region of the hand. The fusion of these features yields a false acceptance rate of 0.75%, false rejection rate of 0.86% for verification tests conducted, which is less when compared to the results obtained using individual traits. The results obtained confirm the usefulness of proposed approach and suitability of the selected features for developing biometric based recognition system based on features from palmar region of hand. <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=hand%20geometry%20features" title=" hand geometry features"> hand geometry features</a>, <a href="https://publications.waset.org/abstracts/search?q=inner%20knuckle%20print" title=" inner knuckle print"> inner knuckle print</a>, <a href="https://publications.waset.org/abstracts/search?q=recognition" title=" recognition"> recognition</a> </p> <a href="https://publications.waset.org/abstracts/55988/fusion-of-finger-inner-knuckle-print-and-hand-geometry-features-to-enhance-the-performance-of-biometric-verification-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55988.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">220</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=behavioural%20biometric&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=behavioural%20biometric&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=behavioural%20biometric&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=behavioural%20biometric&page=5">5</a></li> <li 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