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biometrics</title> <meta name="description" content="Search results for: biometrics"> <meta name="keywords" content="biometrics"> <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 navbar-toggler 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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="biometrics"> <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> 61</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: biometrics</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">61</span> Application of Biometrics in Patient Identification Card: Case Study of Saudi Arabia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Aldhalaan">Sarah Aldhalaan</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanzila%20Saba"> Tanzila Saba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Healthcare sectors are increasing rapidly to fulfill patient’s needs across the world. A patient identification is considered as the main aspect for a patient to be served in healthcare institutes. Nowadays, people are presenting their insurance card along with their identification card in order to get the needed treatment in hospitals however, this process lack security preferences. The aim of this research paper is to reveal a solution to introduce and use biometrics in healthcare hospitals. The findings show that the people know biometrics since they are interacting with them through different channels and that the need for biometrics techniques to identify patients is essential. Also, the survey relevant questions are used to analyze and add insights on what is are the suitable biometrics to be used in such cases. Moreover, results are presented to exhibit the effectiveness of the used methodology and in analyzing usage of biometrics in hospitals in an enhancing way. Finally, an interesting conclusion of overall work is presented at the end of paper. <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=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprint" title=" fingerprint"> fingerprint</a>, <a href="https://publications.waset.org/abstracts/search?q=Saudi%20Arabia" title=" Saudi Arabia"> Saudi Arabia</a> </p> <a href="https://publications.waset.org/abstracts/69905/application-of-biometrics-in-patient-identification-card-case-study-of-saudi-arabia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69905.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">247</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">60</span> Features of Testing of the Neuronetwork Converter Biometrics-Code with Correlation Communications between Bits of the Output Code</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20S.%20Akhmetov">B. S. Akhmetov</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20I.%20Ivanov"> A. I. Ivanov</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20Kartbayev"> T. S. Kartbayev</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Y.%20Malygin"> A. Y. Malygin</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Mukapil"> K. Mukapil</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20D.%20Tolybayev"> S. D. Tolybayev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article examines the testing of the neural network converter of biometrics code. Determined the main reasons that prevented the use adopted in the works of foreign researchers classical a Binomial Law when describing distribution of measures of Hamming "Alien" codes-responses. <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=testing" title=" testing"> testing</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=converter%20of%20biometrics-code" title=" converter of biometrics-code"> converter of biometrics-code</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamming%27s%20measure" title=" Hamming's measure"> Hamming's measure</a> </p> <a href="https://publications.waset.org/abstracts/20893/features-of-testing-of-the-neuronetwork-converter-biometrics-code-with-correlation-communications-between-bits-of-the-output-code" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20893.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">1138</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">59</span> Dual Biometrics Fusion Based Recognition System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prakash">Prakash</a>, <a href="https://publications.waset.org/abstracts/search?q=Vikash%20Kumar"> Vikash Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinay%20Bansal"> Vinay Bansal</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20N.%20Das"> L. N. Das</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dual biometrics is a subpart of multimodal biometrics, which refers to the use of a variety of modalities to identify and authenticate persons rather than just one. We limit the risks of mistakes by mixing several modals, and hackers have a tiny possibility of collecting information. Our goal is to collect the precise characteristics of iris and palmprint, produce a fusion of both methodologies, and ensure that authentication is only successful when the biometrics match a particular user. After combining different modalities, we created an effective strategy with a mean DI and EER of 2.41 and 5.21, respectively. A biometric system has been proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multimodal" title="multimodal">multimodal</a>, <a href="https://publications.waset.org/abstracts/search?q=fusion" title=" fusion"> fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=palmprint" title=" palmprint"> palmprint</a>, <a href="https://publications.waset.org/abstracts/search?q=Iris" title=" Iris"> Iris</a>, <a href="https://publications.waset.org/abstracts/search?q=EER" title=" EER"> EER</a>, <a href="https://publications.waset.org/abstracts/search?q=DI" title=" DI"> DI</a> </p> <a href="https://publications.waset.org/abstracts/149996/dual-biometrics-fusion-based-recognition-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149996.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">147</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">58</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">57</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">56</span> Modeling Binomial Dependent Distribution of the Values: Synthesis Tables of Probabilities of Errors of the First and Second Kind of Biometrics-Neural Network Authentication System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20S.Akhmetov">B. S.Akhmetov</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20T.%20Akhmetova"> S. T. Akhmetova</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20N.%20Nadeyev"> D. N. Nadeyev</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Yu.%20Yegorov"> V. Yu. Yegorov</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20V.%20Smogoonov"> V. V. Smogoonov </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Estimated probabilities of errors of the first and second kind for nonideal biometrics-neural transducers 256 outputs, the construction of nomograms based error probability of 'own' and 'alien' from the mathematical expectation and standard deviation of the normalized measures Hamming. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modeling" title="modeling">modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=errors" title=" errors"> errors</a>, <a href="https://publications.waset.org/abstracts/search?q=probability" title=" probability"> probability</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</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=authentication" title=" authentication"> authentication</a> </p> <a href="https://publications.waset.org/abstracts/20872/modeling-binomial-dependent-distribution-of-the-values-synthesis-tables-of-probabilities-of-errors-of-the-first-and-second-kind-of-biometrics-neural-network-authentication-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20872.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">482</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">55</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">54</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">53</span> Cardiokey: A Binary and Multi-Class Machine Learning Approach to Identify Individuals Using Electrocardiographic Signals on Wearable Devices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Chami">S. Chami</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Chauvin"> J. Chauvin</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Demarest"> T. Demarest</a>, <a href="https://publications.waset.org/abstracts/search?q=Stan%20Ng"> Stan Ng</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Straus"> M. Straus</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20Jahner"> W. Jahner</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometrics tools such as fingerprint and iris are widely used in industry to protect critical assets. However, their vulnerability and lack of robustness raise several worries about the protection of highly critical assets. Biometrics based on Electrocardiographic (ECG) signals is a robust identification tool. However, most of the state-of-the-art techniques have worked on clinical signals, which are of high quality and less noisy, extracted from wearable devices like a smartwatch. In this paper, we are presenting a complete machine learning pipeline that identifies people using ECG extracted from an off-person device. An off-person device is a wearable device that is not used in a medical context such as a smartwatch. In addition, one of the main challenges of ECG biometrics is the variability of the ECG of different persons and different situations. To solve this issue, we proposed two different approaches: per person classifier, and one-for-all classifier. The first approach suggests making binary classifier to distinguish one person from others. The second approach suggests a multi-classifier that distinguishes the selected set of individuals from non-selected individuals (others). The preliminary results, the binary classifier obtained a performance 90% in terms of accuracy within a balanced data. The second approach has reported a log loss of 0.05 as a multi-class score. <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=electrocardiographic" title=" electrocardiographic"> electrocardiographic</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=signals%20processing" title=" signals processing"> signals processing</a> </p> <a href="https://publications.waset.org/abstracts/114879/cardiokey-a-binary-and-multi-class-machine-learning-approach-to-identify-individuals-using-electrocardiographic-signals-on-wearable-devices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/114879.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">142</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">52</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">533</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">51</span> Analysis of NFC and Biometrics in the Retail Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ziwei%20Xu">Ziwei Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The increasing emphasis on mobility has driven the application of innovative communication technologies across various industries. In the retail sector, Near Field Communication (NFC) has emerged as a significant and transformative technology, particularly in the payment and retail supermarket sectors. NFC enables new payment methods, such as electronic wallets, and enhances information management in supermarkets, contributing to the growth of the trade. This report presents a comprehensive analysis of NFC technology, focusing on five key aspects. Firstly, it provides an overview of NFC, including its application methods and development history. Additionally, it incorporates Arthur's work on combinatorial evolution to elucidate the emergence and impact of NFC technology, while acknowledging the limitations of the model in analyzing NFC. The report then summarizes the positive influence of NFC on the retail industry along with its associated constraints. Furthermore, it explores the adoption of NFC from both organizational and individual perspectives, employing the Best Predictors of organizational IT adoption and UTAUT2 models, respectively. Finally, the report discusses the potential future replacement of NFC with biometrics technology, highlighting its advantages over NFC and leveraging Arthur's model to investigate its future development prospects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=innovation" title="innovation">innovation</a>, <a href="https://publications.waset.org/abstracts/search?q=NFC" title=" NFC"> NFC</a>, <a href="https://publications.waset.org/abstracts/search?q=industry" title=" industry"> industry</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</a> </p> <a href="https://publications.waset.org/abstracts/167485/analysis-of-nfc-and-biometrics-in-the-retail-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167485.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">75</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">50</span> Pyramid Binary Pattern for Age Invariant Face Verification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saroj%20Bijarnia">Saroj Bijarnia</a>, <a href="https://publications.waset.org/abstracts/search?q=Preety%20Singh"> Preety Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We propose a simple and effective biometrics system based on face verification across aging using a new variant of texture feature, Pyramid Binary Pattern. This employs Local Binary Pattern along with its hierarchical information. Dimension reduction of generated texture feature vector is done using Principal Component Analysis. Support Vector Machine is used for classification. Our proposed method achieves an accuracy of 92:24% and can be used in an automated age-invariant face verification system. <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=age%20invariant" title=" age invariant"> age invariant</a>, <a href="https://publications.waset.org/abstracts/search?q=verification" title=" verification"> verification</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine" title=" support vector machine"> support vector machine</a> </p> <a href="https://publications.waset.org/abstracts/64435/pyramid-binary-pattern-for-age-invariant-face-verification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64435.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">353</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">49</span> Identity Management in Virtual Worlds Based on Biometrics Watermarking</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Bader">S. Bader</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Essoukri%20Ben%20Amara"> N. Essoukri Ben Amara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the technological development and rise of virtual worlds, these spaces are becoming more and more attractive for cybercriminals, hidden behind avatars and fictitious identities. Since access to these spaces is not restricted or controlled, some impostors take advantage of gaining unauthorized access and practicing cyber criminality. This paper proposes an identity management approach for securing access to virtual worlds. The major purpose of the suggested solution is to install a strong security mechanism to protect virtual identities represented by avatars. Thus, only legitimate users, through their corresponding avatars, are allowed to access the platform resources. Access is controlled by integrating an authentication process based on biometrics. In the request process for registration, a user fingerprint is enrolled and then encrypted into a watermark utilizing a cancelable and non-invertible algorithm for its protection. After a user personalizes their representative character, the biometric mark is embedded into the avatar through a watermarking procedure. The authenticity of the avatar identity is verified when it requests authorization for access. We have evaluated the proposed approach on a dataset of avatars from various virtual worlds, and we have registered promising performance results in terms of authentication accuracy, acceptation and rejection rates. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=identity%20management" title="identity management">identity management</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics%20authentication%20and%20authorization" title=" biometrics authentication and authorization"> biometrics authentication and authorization</a>, <a href="https://publications.waset.org/abstracts/search?q=avatar" title=" avatar"> avatar</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20world" title=" virtual world"> virtual world</a> </p> <a href="https://publications.waset.org/abstracts/50268/identity-management-in-virtual-worlds-based-on-biometrics-watermarking" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50268.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">265</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">48</span> Biimodal Biometrics System Using Fusion of Iris and Fingerprint</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Attallah%20Bilal">Attallah Bilal</a>, <a href="https://publications.waset.org/abstracts/search?q=Hendel%20Fatiha"> Hendel Fatiha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes the bimodal biometrics system for identity verification iris and fingerprint, at matching score level architecture using weighted sum of score technique. The features are extracted from the pre processed images of iris and fingerprint. These features of a query image are compared with those of a database image to obtain matching scores. The individual scores generated after matching are passed to the fusion module. This module consists of three major steps i.e., normalization, generation of similarity score and fusion of weighted scores. The final score is then used to declare the person as genuine or an impostor. The system is tested on CASIA database and gives an overall accuracy of 91.04% with FAR of 2.58% and FRR of 8.34%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=iris" title="iris">iris</a>, <a href="https://publications.waset.org/abstracts/search?q=fingerprint" title=" fingerprint"> fingerprint</a>, <a href="https://publications.waset.org/abstracts/search?q=sum%20rule" title=" sum rule"> sum rule</a>, <a href="https://publications.waset.org/abstracts/search?q=fusion" title=" fusion"> fusion</a> </p> <a href="https://publications.waset.org/abstracts/18556/biimodal-biometrics-system-using-fusion-of-iris-and-fingerprint" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18556.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">368</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">47</span> A Palmprint Identification System Based Multi-Layer Perceptron</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20P.%20Tantua">David P. Tantua</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulkader%20Helwan"> Abdulkader Helwan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometrics has been recently used for the human identification systems using the biological traits such as the fingerprints and iris scanning. Identification systems based biometrics show great efficiency and accuracy in such human identification applications. However, these types of systems are so far based on some image processing techniques only, which may decrease the efficiency of such applications. Thus, this paper aims to develop a human palmprint identification system using multi-layer perceptron neural network which has the capability to learn using a backpropagation learning algorithms. The developed system uses images obtained from a public database available on the internet (CASIA). The processing system is as follows: image filtering using median filter, image adjustment, image skeletonizing, edge detection using canny operator to extract features, clear unwanted components of the image. The second phase is to feed those processed images into a neural network classifier which will adaptively learn and create a class for each different image. 100 different images are used for training the system. Since this is an identification system, it should be tested with the same images. Therefore, the same 100 images are used for testing it, and any image out of the training set should be unrecognized. The experimental results shows that this developed system has a great accuracy 100% and it can be implemented in real life applications. <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=biological%20traits" title=" biological traits"> biological traits</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-layer%20perceptron%20neural%20network" title=" multi-layer perceptron neural network"> multi-layer perceptron neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20skeletonizing" title=" image skeletonizing"> image skeletonizing</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20detection%20using%20canny%20operator" title=" edge detection using canny operator"> edge detection using canny operator</a> </p> <a href="https://publications.waset.org/abstracts/26617/a-palmprint-identification-system-based-multi-layer-perceptron" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26617.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">371</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">46</span> Eye Tracking: Biometric Evaluations of Instructional Materials for Improved Learning </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Janet%20Holland">Janet Holland</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Eye tracking is a great way to triangulate multiple data sources for deeper, more complete knowledge of how instructional materials are really being used and emotional connections made. Using sensor based biometrics provides a detailed local analysis in real time expanding our ability to collect science based data for a more comprehensive level of understanding, not previously possible, for teaching and learning. The knowledge gained will be used to make future improvements to instructional materials, tools, and interactions. The literature has been examined and a preliminary pilot test was implemented to develop a methodology for research in Instructional Design and Technology. Eye tracking now offers the addition of objective metrics obtained from eye tracking and other biometric data collection with analysis for a fresh perspective. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=area%20of%20interest" title="area of interest">area of interest</a>, <a href="https://publications.waset.org/abstracts/search?q=eye%20tracking" title=" eye tracking"> eye tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=fixation" title=" fixation"> fixation</a>, <a href="https://publications.waset.org/abstracts/search?q=fixation%20count" title=" fixation count"> fixation count</a>, <a href="https://publications.waset.org/abstracts/search?q=fixation%20sequence" title=" fixation sequence"> fixation sequence</a>, <a href="https://publications.waset.org/abstracts/search?q=fixation%20time" title=" fixation time"> fixation time</a>, <a href="https://publications.waset.org/abstracts/search?q=gaze%20points" title=" gaze points"> gaze points</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20map" title=" heat map"> heat map</a>, <a href="https://publications.waset.org/abstracts/search?q=saccades" title=" saccades"> saccades</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20to%20first%20fixation" title=" time to first fixation"> time to first fixation</a> </p> <a href="https://publications.waset.org/abstracts/104914/eye-tracking-biometric-evaluations-of-instructional-materials-for-improved-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/104914.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">131</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">45</span> Retina Registration for Biometrics Based on Characterization of Retinal Feature Points</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nougrara%20Zineb">Nougrara Zineb</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The unique structure of the blood vessels in the retina has been used for biometric identification. The retina blood vessel pattern is a unique pattern in each individual and it is almost impossible to forge that pattern in a false individual. The retina biometrics’ advantages include high distinctiveness, universality, and stability overtime of the blood vessel pattern. Once the creases have been extracted from the images, a registration stage is necessary, since the position of the retinal vessel structure could change between acquisitions due to the movements of the eye. Image registration consists of following steps: Feature detection, feature matching, transform model estimation and image resembling and transformation. In this paper, we present an algorithm of registration; it is based on the characterization of retinal feature points. For experiments, retinal images from the DRIVE database have been tested. The proposed methodology achieves good results for registration in general. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fovea" title="fovea">fovea</a>, <a href="https://publications.waset.org/abstracts/search?q=optic%20disc" title=" optic disc"> optic disc</a>, <a href="https://publications.waset.org/abstracts/search?q=registration" title=" registration"> registration</a>, <a href="https://publications.waset.org/abstracts/search?q=retinal%20images" title=" retinal images"> retinal images</a> </p> <a href="https://publications.waset.org/abstracts/72438/retina-registration-for-biometrics-based-on-characterization-of-retinal-feature-points" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72438.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">266</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">44</span> Large-Scale Electroencephalogram Biometrics through Contrastive Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mostafa%20%E2%80%98Neo%E2%80%99%20Mohsenvand">Mostafa ‘Neo’ Mohsenvand</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Rasool%20Izadi"> Mohammad Rasool Izadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Pattie%20Maes"> Pattie Maes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> EEG-based biometrics (user identification) has been explored on small datasets of no more than 157 subjects. Here we show that the accuracy of modern supervised methods falls rapidly as the number of users increases to a few thousand. Moreover, supervised methods require a large amount of labeled data for training which limits their applications in real-world scenarios where acquiring data for training should not take more than a few minutes. We show that using contrastive learning for pre-training, it is possible to maintain high accuracy on a dataset of 2130 subjects while only using a fraction of labels. We compare 5 different self-supervised tasks for pre-training of the encoder where our proposed method achieves the accuracy of 96.4%, improving the baseline supervised models by 22.75% and the competing self-supervised model by 3.93%. We also study the effects of the length of the signal and the number of channels on the accuracy of the user-identification models. Our results reveal that signals from temporal and frontal channels contain more identifying features compared to other channels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=brainprint" title="brainprint">brainprint</a>, <a href="https://publications.waset.org/abstracts/search?q=contrastive%20learning" title=" contrastive learning"> contrastive learning</a>, <a href="https://publications.waset.org/abstracts/search?q=electroencephalo-gram" title=" electroencephalo-gram"> electroencephalo-gram</a>, <a href="https://publications.waset.org/abstracts/search?q=self-supervised%20learning" title=" self-supervised learning"> self-supervised learning</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20identification" title=" user identification"> user identification</a> </p> <a href="https://publications.waset.org/abstracts/135468/large-scale-electroencephalogram-biometrics-through-contrastive-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135468.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">157</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">43</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">42</span> Biometrics and Dietary Studies of Citharinus citharus in the Lower Niger River in Kogi State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adeyemi">Adeyemi</a>, <a href="https://publications.waset.org/abstracts/search?q=Samuel%20Olusegun"> Samuel Olusegun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometrics and dietary habit of Citharinus citharus in the lower Niger River area of kogi state were studied between October and December, 2010. A total of 120 fish sampled were used for the study. The total length, standard length and weight were taken for each fish sample for the estimations of length-weight relationship using the formula W = aLb and transformed to Log W = Log a + b Log L. Stomach contents were analyzed by frequency of occurrence method. The standard length of males, females and combined sexes ranged between 6.8 - 16.5, 7.3 – 14.3 cm, 6.8 – 74.2 (cm) respectively, with b – values of 3.0963, 3.174 and 3.1382. The condition factor ranged from 2.04 – 2.80, 1.88 – 2.86 and 1.88 – 2.86 respectively. The food and feeding habits shows that the fish feeds mainly sand grain (25.83%), mud (24.16%), plant parts (12.50%), insect part (2.50%), algae (12.50%) and unidentified items (5.00%). C. citharus in the lower Niger area of kogi state could be termed to an omnivore. River Niger could be said to be suitable for growth and survival of the fish species C. citharus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=length-weight" title="length-weight">length-weight</a>, <a href="https://publications.waset.org/abstracts/search?q=sexes" title=" sexes"> sexes</a>, <a href="https://publications.waset.org/abstracts/search?q=stomach%20content" title=" stomach content"> stomach content</a>, <a href="https://publications.waset.org/abstracts/search?q=feeding%20habits" title=" feeding habits"> feeding habits</a>, <a href="https://publications.waset.org/abstracts/search?q=plant%20materials" title=" plant materials"> plant materials</a> </p> <a href="https://publications.waset.org/abstracts/13854/biometrics-and-dietary-studies-of-citharinus-citharus-in-the-lower-niger-river-in-kogi-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13854.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">510</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">41</span> Improving Security Features of Traditional Automated Teller Machines-Based Banking Services via Fingerprint Biometrics Scheme</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anthony%20I.%20Otuonye">Anthony I. Otuonye</a>, <a href="https://publications.waset.org/abstracts/search?q=Juliet%20N.%20Odii"> Juliet N. Odii</a>, <a href="https://publications.waset.org/abstracts/search?q=Perpetual%20N.%20Ibe"> Perpetual N. Ibe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The obvious challenges faced by most commercial bank customers while using the services of ATMs (Automated Teller Machines) across developing countries have triggered the need for an improved system with better security features. Current ATM systems are password-based, and research has proved the vulnerabilities of these systems to heinous attacks and manipulations. We have discovered by research that the security of current ATM-assisted banking services in most developing countries of the world is easily broken and maneuvered by fraudsters, majorly because it is quite difficult for these systems to identify an impostor with privileged access as against the authentic bank account owner. Again, PIN (Personal Identification Number) code passwords are easily guessed, just to mention a few of such obvious limitations of traditional ATM operations. In this research work also, we have developed a system of fingerprint biometrics with PIN code Authentication that seeks to improve the security features of traditional ATM installations as well as other Banking Services. The aim is to ensure better security at all ATM installations and raise the confidence of bank customers. It is hoped that our system will overcome most of the challenges of the current password-based ATM operation if properly applied. The researchers made use of the OOADM (Object-Oriented Analysis and Design Methodology), a software development methodology that assures proper system design using modern design diagrams. Implementation and coding were carried out using Visual Studio 2010 together with other software tools. Results obtained show a working system that provides two levels of security at the client’s side using a fingerprint biometric scheme combined with the existing 4-digit PIN code to guarantee the confidence of bank customers across developing countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fingerprint%20biometrics" title="fingerprint biometrics">fingerprint biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=banking%20operations" title=" banking operations"> banking operations</a>, <a href="https://publications.waset.org/abstracts/search?q=verification" title=" verification"> verification</a>, <a href="https://publications.waset.org/abstracts/search?q=ATMs" title=" ATMs"> ATMs</a>, <a href="https://publications.waset.org/abstracts/search?q=PIN%20code" title=" PIN code"> PIN code</a> </p> <a href="https://publications.waset.org/abstracts/185689/improving-security-features-of-traditional-automated-teller-machines-based-banking-services-via-fingerprint-biometrics-scheme" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185689.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">42</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">40</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">39</span> A Geometric Based Hybrid Approach for Facial Feature Localization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Priya%20Saha">Priya Saha</a>, <a href="https://publications.waset.org/abstracts/search?q=Sourav%20Dey%20Roy%20Jr."> Sourav Dey Roy Jr.</a>, <a href="https://publications.waset.org/abstracts/search?q=Debotosh%20Bhattacharjee"> Debotosh Bhattacharjee</a>, <a href="https://publications.waset.org/abstracts/search?q=Mita%20Nasipuri"> Mita Nasipuri</a>, <a href="https://publications.waset.org/abstracts/search?q=Barin%20Kumar%20De"> Barin Kumar De</a>, <a href="https://publications.waset.org/abstracts/search?q=Mrinal%20Kanti%20Bhowmik"> Mrinal Kanti Bhowmik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometric face recognition technology (FRT) has gained a lot of attention due to its extensive variety of applications in both security and non-security perspectives. It has come into view to provide a secure solution in identification and verification of person identity. Although other biometric based methods like fingerprint scans, iris scans are available, FRT is verified as an efficient technology for its user-friendliness and contact freeness. Accurate facial feature localization plays an important role for many facial analysis applications including biometrics and emotion recognition. But, there are certain factors, which make facial feature localization a challenging task. On human face, expressions can be seen from the subtle movements of facial muscles and influenced by internal emotional states. These non-rigid facial movements cause noticeable alterations in locations of facial landmarks, their usual shapes, which sometimes create occlusions in facial feature areas making face recognition as a difficult problem. The paper proposes a new hybrid based technique for automatic landmark detection in both neutral and expressive frontal and near frontal face images. The method uses the concept of thresholding, sequential searching and other image processing techniques for locating the landmark points on the face. Also, a Graphical User Interface (GUI) based software is designed that could automatically detect 16 landmark points around eyes, nose and mouth that are mostly affected by the changes in facial muscles. The proposed system has been tested on widely used JAFFE and Cohn Kanade database. Also, the system is tested on DeitY-TU face database which is created in the Biometrics Laboratory of Tripura University under the research project funded by Department of Electronics & Information Technology, Govt. of India. The performance of the proposed method has been done in terms of error measure and accuracy. The method has detection rate of 98.82% on JAFFE database, 91.27% on Cohn Kanade database and 93.05% on DeitY-TU database. Also, we have done comparative study of our proposed method with other techniques developed by other researchers. This paper will put into focus emotion-oriented systems through AU detection in future based on the located features. <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=face%20recognition" title=" face recognition"> face recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=facial%20landmarks" title=" facial landmarks"> facial landmarks</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title=" image processing"> image processing</a> </p> <a href="https://publications.waset.org/abstracts/22182/a-geometric-based-hybrid-approach-for-facial-feature-localization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22182.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">412</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">38</span> Study of Some Biometric Parameters of the Incubated Eggs and Unhatched Eggs Depending on the Age of Breeding in Domestic Japanese Quail Coturnix japonica (Aves, Phasianidae)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amina%20Sma%C3%AF">Amina Smaï</a>, <a href="https://publications.waset.org/abstracts/search?q=Habiba%20Idouhar-Saadi"> Habiba Idouhar-Saadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Safia%20Zenia"> Safia Zenia</a>, <a href="https://publications.waset.org/abstracts/search?q=Fairouz%20Haddadj"> Fairouz Haddadj</a>, <a href="https://publications.waset.org/abstracts/search?q=Salaheddine%20Doumandji"> Salaheddine Doumandji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The poultry industry (chicken and egg consumption) has become important in Algeria, but that does not prevent other farms from beginning to position themselves on the ground like the turkey, guinea fowl, partridge and quail Japanese. The breeding importance of this last, reside, also in game meat, egg quality and their therapeutic role without forgetting its growth performance. To the same effect, a study was held at the center of Zeralda hunting on various parameters such as the weight and number of eggs laid and this in order to know better the potential of production and reproduction of domestic quail. Egg laying has started from the 8th week of reproductive age, their harvest and their counts are performed daily up to 32 weeks of age and more. We have given the biometrics of incubated eggs and unhatched eggs. The parameters studied were the weight, large and small diameter, density, volume, shell index and the shape index. The work revealed that the maximum weight in males is reached in the 11th week, against the female, he reached the 13th week of age. Indeed, there is a good correlation (R = 0.79) between the weight of females and egg production. The rate of unhatched eggs varies between 11 and 43%, these values are recorded respectively in breeding under the age of 25 and 43 weeks. Furthermore, the biometric parameters of hatched and unhatched eggs have differences that are marked, especially during the beginning and end of lay. Further results will be subsequently exploited. Indeed, rearing Japanese quail is easy in technical terms and does not require big investment but its practical application vigilance and daily presence of the breeder within the farm who oversees the hygiene and well-being of its poultry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Japanese%20quail" title="Japanese quail">Japanese quail</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=eggs" title=" eggs"> eggs</a>, <a href="https://publications.waset.org/abstracts/search?q=unhatching%20eggs" title=" unhatching eggs"> unhatching eggs</a>, <a href="https://publications.waset.org/abstracts/search?q=reproduction" title=" reproduction"> reproduction</a> </p> <a href="https://publications.waset.org/abstracts/46612/study-of-some-biometric-parameters-of-the-incubated-eggs-and-unhatched-eggs-depending-on-the-age-of-breeding-in-domestic-japanese-quail-coturnix-japonica-aves-phasianidae" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46612.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">194</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">37</span> Description of the Non-Iterative Learning Algorithm of Artificial Neuron</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20S.%20Akhmetov">B. S. Akhmetov</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20T.%20Akhmetova"> S. T. Akhmetova</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20I.%20Ivanov"> A. I. Ivanov</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20Kartbayev"> T. S. Kartbayev</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Y.%20Malygin"> A. Y. Malygin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The problem of training of a network of artificial neurons in biometric appendices is that this process has to be completely automatic, i.e. the person operator should not participate in it. Therefore, this article discusses the issues of training the network of artificial neurons and the description of the non-iterative learning algorithm of artificial neuron. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neuron" title="artificial neuron">artificial neuron</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrical%20applications" title=" biometrical applications"> biometrical applications</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20of%20neuron" title=" learning of neuron"> learning of neuron</a>, <a href="https://publications.waset.org/abstracts/search?q=non-iterative%20algorithm" title=" non-iterative algorithm"> non-iterative algorithm</a> </p> <a href="https://publications.waset.org/abstracts/19446/description-of-the-non-iterative-learning-algorithm-of-artificial-neuron" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19446.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">496</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">36</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">35</span> A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Niloofar%20Yousefi">Niloofar Yousefi</a>, <a href="https://publications.waset.org/abstracts/search?q=Marie%20Alaghband"> Marie Alaghband</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Garibay"> Ivan Garibay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the increase of credit card usage, the volume of credit card misuse also has significantly increased, which may cause appreciable financial losses for both credit card holders and financial organizations issuing credit cards. As a result, financial organizations are working hard on developing and deploying credit card fraud detection methods, in order to adapt to ever-evolving, increasingly sophisticated defrauding strategies and identifying illicit transactions as quickly as possible to protect themselves and their customers. Compounding on the complex nature of such adverse strategies, credit card fraudulent activities are rare events compared to the number of legitimate transactions. Hence, the challenge to develop fraud detection that are accurate and efficient is substantially intensified and, as a consequence, credit card fraud detection has lately become a very active area of research. In this work, we provide a survey of current techniques most relevant to the problem of credit card fraud detection. We carry out our survey in two main parts. In the first part, we focus on studies utilizing classical machine learning models, which mostly employ traditional transnational features to make fraud predictions. These models typically rely on some static physical characteristics, such as what the user knows (knowledge-based method), or what he/she has access to (object-based method). In the second part of our survey, we review more advanced techniques of user authentication, which use behavioral biometrics to identify an individual based on his/her unique behavior while he/she is interacting with his/her electronic devices. These approaches rely on how people behave (instead of what they do), which cannot be easily forged. By providing an overview of current approaches and the results reported in the literature, this survey aims to drive the future research agenda for the community in order to develop more accurate, reliable and scalable models of credit card fraud detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Credit%20Card%20Fraud%20Detection" title="Credit Card Fraud Detection">Credit Card Fraud Detection</a>, <a href="https://publications.waset.org/abstracts/search?q=User%20Authentication" title=" User Authentication"> User Authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=Behavioral%20Biometrics" title=" Behavioral Biometrics"> Behavioral Biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=Machine%20Learning" title=" Machine Learning"> Machine Learning</a>, <a href="https://publications.waset.org/abstracts/search?q=Literature%20Survey" title=" Literature Survey"> Literature Survey</a> </p> <a href="https://publications.waset.org/abstracts/135569/a-comprehensive-survey-on-machine-learning-techniques-and-user-authentication-approaches-for-credit-card-fraud-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135569.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">34</span> A Method of Detecting the Difference in Two States of Brain Using Statistical Analysis of EEG Raw Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Digvijaysingh%20S.%20Bana">Digvijaysingh S. Bana</a>, <a href="https://publications.waset.org/abstracts/search?q=Kiran%20R.%20Trivedi"> Kiran R. Trivedi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces various methods for the alpha wave to detect the difference between two states of brain. One healthy subject participated in the experiment. EEG was measured on the forehead above the eye (FP1 Position) with reference and ground electrode are on the ear clip. The data samples are obtained in the form of EEG raw data. The time duration of reading is of one minute. Various test are being performed on the alpha band EEG raw data.The readings are performed in different time duration of the entire day. The statistical analysis is being carried out on the EEG sample data in the form of various tests. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electroencephalogram%28EEG%29" title="electroencephalogram(EEG)">electroencephalogram(EEG)</a>, <a href="https://publications.waset.org/abstracts/search?q=biometrics" title=" biometrics"> biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=authentication" title=" authentication"> authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=EEG%20raw%20data" title=" EEG raw data"> EEG raw data</a> </p> <a href="https://publications.waset.org/abstracts/32552/a-method-of-detecting-the-difference-in-two-states-of-brain-using-statistical-analysis-of-eeg-raw-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32552.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">464</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">33</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">32</span> Human Identification Using Local Roughness Patterns in Heartbeat Signal </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md.%20Khayrul%20Bashar">Md. Khayrul Bashar</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Saiful%20Islam"> Md. Saiful Islam</a>, <a href="https://publications.waset.org/abstracts/search?q=Kimiko%20Yamashita"> Kimiko Yamashita</a>, <a href="https://publications.waset.org/abstracts/search?q=Yano%20Midori"> Yano Midori</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Despite having some progress in human authentication, conventional biometrics (e.g., facial features, fingerprints, retinal scans, gait, voice patterns) are not robust against falsification because they are neither confidential nor secret to an individual. As a non-invasive tool, electrocardiogram (ECG) has recently shown a great potential in human recognition due to its unique rhythms characterizing the variability of human heart structures (chest geometry, sizes, and positions). Moreover, ECG has a real-time vitality characteristic that signifies the live signs, which ensure legitimate individual to be identified. However, the detection accuracy of the current ECG-based methods is not sufficient due to a high variability of the individual’s heartbeats at a different instance of time. These variations may occur due to muscle flexure, the change of mental or emotional states, and the change of sensor positions or long-term baseline shift during the recording of ECG signal. In this study, a new method is proposed for human identification, which is based on the extraction of the local roughness of ECG heartbeat signals. First ECG signal is preprocessed using a second order band-pass Butterworth filter having cut-off frequencies of 0.00025 and 0.04. A number of local binary patterns are then extracted by applying a moving neighborhood window along the ECG signal. At each instant of the ECG signal, the pattern is formed by comparing the ECG intensities at neighboring time points with the central intensity in the moving window. Then, binary weights are multiplied with the pattern to come up with the local roughness description of the signal. Finally, histograms are constructed that describe the heartbeat signals of individual subjects in the database. One advantage of the proposed feature is that it does not depend on the accuracy of detecting QRS complex, unlike the conventional methods. Supervised recognition methods are then designed using minimum distance to mean and Bayesian classifiers to identify authentic human subjects. An experiment with sixty (60) ECG signals from sixty adult subjects from National Metrology Institute of Germany (NMIG) - PTB database, showed that the proposed new method is promising compared to a conventional interval and amplitude feature-based method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20identification" title="human identification">human identification</a>, <a href="https://publications.waset.org/abstracts/search?q=ECG%20biometrics" title=" ECG biometrics"> ECG biometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20roughness%20patterns" title=" local roughness patterns"> local roughness patterns</a>, <a href="https://publications.waset.org/abstracts/search?q=supervised%20classification" title=" supervised classification"> supervised classification</a> </p> <a href="https://publications.waset.org/abstracts/29806/human-identification-using-local-roughness-patterns-in-heartbeat-signal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29806.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">404</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=biometrics&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=biometrics&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=biometrics&page=2" rel="next">&rsaquo;</a></li> 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