Finger Vein Recognition using PCA-based Methods

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PCA-based Methods</title> <meta name="description" content="Finger Vein Recognition using PCA-based Methods"> <meta name="keywords" content="Biometrics, finger vein recognition, PrincipalComponent Analysis (PCA), Kernel Principal Component Analysis(KPCA), Kernel Entropy Component Analysis (KPCA)."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Finger Vein Recognition using PCA-based Methods"> <meta name="citation_author" content="Sepehr Damavandinejadmonfared"> <meta name="citation_author" content="Ali Khalili Mobarakeh"> <meta name="citation_author" content="Mohsen Pashna"> <meta name="citation_author" content=""> <meta name="citation_author" content="Jiangping Gou Sayedmehran Mirsafaie Rizi"> <meta name="citation_author" content="Saba Nazari"> <meta name="citation_author" content="Shadi Mahmoodi Khaniabadi"> <meta name="citation_author" content="Mohamad Ali Bagheri"> <meta name="citation_publication_date" content="2012/06/25"> <meta name="citation_journal_title" content="International Journal of Electrical and Computer Engineering"> <meta name="citation_volume" content="6"> <meta name="citation_issue" content="6"> <meta name="citation_firstpage" content="593"> <meta name="citation_lastpage" content="595"> <meta name="citation_pdf_url" content="https://publications.waset.org/9030/pdf"> <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 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mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Finger Vein Recognition using PCA-based Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Sepehr%20Damavandinejadmonfared">Sepehr Damavandinejadmonfared</a>, <a href="https://publications.waset.org/search?q=Ali%20Khalili%20Mobarakeh"> Ali Khalili Mobarakeh</a>, <a href="https://publications.waset.org/search?q=Mohsen%20Pashna">Mohsen Pashna</a>, <a href="https://publications.waset.org/search?q="></a>, <a href="https://publications.waset.org/search?q=Jiangping%20Gou%0D%0ASayedmehran%20Mirsafaie%20Rizi"> Jiangping Gou Sayedmehran Mirsafaie Rizi</a>, <a href="https://publications.waset.org/search?q=Saba%20Nazari"> Saba Nazari</a>, <a href="https://publications.waset.org/search?q=Shadi%20Mahmoodi%20Khaniabadi"> Shadi Mahmoodi Khaniabadi</a>, <a href="https://publications.waset.org/search?q=Mohamad%20Ali%20Bagheri"> Mohamad Ali Bagheri </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper a novel algorithm is proposed to merit the accuracy of finger vein recognition. The performances of Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA), and Kernel Entropy Component Analysis (KECA) in this algorithm are validated and compared with each other in order to determine which one is the most appropriate one in terms of finger vein recognition. <iframe src="https://publications.waset.org/9030.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Biometrics" title="Biometrics">Biometrics</a>, <a href="https://publications.waset.org/search?q=finger%20vein%20recognition" title=" finger vein recognition"> finger vein recognition</a>, <a href="https://publications.waset.org/search?q=PrincipalComponent%20Analysis%20%28PCA%29" title=" PrincipalComponent Analysis (PCA)"> PrincipalComponent Analysis (PCA)</a>, <a href="https://publications.waset.org/search?q=Kernel%20Principal%20Component%20Analysis%28KPCA%29" title=" Kernel Principal Component Analysis(KPCA)"> Kernel Principal Component Analysis(KPCA)</a>, <a href="https://publications.waset.org/search?q=Kernel%20Entropy%20Component%20Analysis%20%28KPCA%29." title=" Kernel Entropy Component Analysis (KPCA)."> Kernel Entropy Component Analysis (KPCA).</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1334738" target="_blank">doi.org/10.5281/zenodo.1334738</a> </p> <a href="https://publications.waset.org/9030/finger-vein-recognition-using-pca-based-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9030/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9030/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9030/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9030/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9030/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9030/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9030/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9030/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9030/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9030/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9030.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">2680</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] A. K. Jain, A. Ross, and S. Prabhakar, "An Introduction to Biometric Recognition," IEEE Transactions on Circuits and Systems, vol. 14, no. 1, pp. 4-20, 2004. <br>[2] C. Vision, "A Comparison of Face Recognition Methods Final Project Report A Combined Project for," Artificial Intelligence, 2003. <br>[3] S.-hung Lin and D. Ph, "An Introduction to Face Recognition Technology," Pattern Recognition, no. 1995, pp. 1-7, 1997. <br>[4] K. I. Kim, K. Jung, and H. J. Kim, "Principal Component Analysis," Signal Processing, vol. 9, no. 2, pp. 40-42, 2002. <br>[5] P. Hu and A.-ping Yang, "Indefinite Kernel Entropy Component Analysis," Science And Technology, no. 3, pp. 0-3, 2010. <br>[6] R. Jenssen, "Kernel entropy component analysis.," IEEE transactions on pattern analysis and machine intelligence, vol. 32, no. 5, pp. 847-60, May 2010. <br>[7] S. Damavandinejadmonfared, W. H. Al-arashi, and S. A. Suandi, "Pose Invariant Face Recognition for Video Surveillance System Using Kernel Principle Component Analysis," Engineering, pp. 3-7. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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Finger Vein Recognition using PCA-based Methods