{"id":407,"date":"2014-01-29T07:25:29","date_gmt":"2014-01-29T07:25:29","guid":{"rendered":"http:\/\/research.binus.ac.id\/\/?p=407"},"modified":"2020-11-06T13:06:04","modified_gmt":"2020-11-06T06:06:04","slug":"comparative-analysis-between-verieyes-and-libor-maseks-algorithm-in-iris-recognition","status":"publish","type":"post","link":"https:\/\/research.binus.ac.id\/bdsrc\/2014\/01\/29\/comparative-analysis-between-verieyes-and-libor-maseks-algorithm-in-iris-recognition\/","title":{"rendered":"Comparative Analysis between Verieye\u2019s and Libor Masek\u2019s Algorithm in Iris Recognition"},"content":{"rendered":"<p style=\"text-align: justify\">The study is to compare the performance of iris recognition algorithm between the open source algorithm (Libor Masek) and the commercially available one (VeriEye by Neurotechnology).There are five processes to evaluate the performance: 1) resize the bath iris images\u2019 resolution from 1280&#215;960 to 640&#215;480, 2) convert the images from JPEG2000 to JPEG format, 3) convert the images into grayscales using Matlab, 4) run the images with both Libor Masek and VeriEye algorithm, 5) measure the performance of the two algorithms using Receiver Operating Characteristic (ROC) curve and the operational time framework. The ROC curves how that VeriEye\u2019s algorithm performs better than Libor Masek\u2019s. However, there is no significant difference in the processing time between the two algorithms.<\/p>\n<p>Proceeding of The WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, ISBN: 978-1-61804-049-7, 2011<\/p>\n<p><strong>Ingrid Christiani, Benny Senjaya, Bens Pardamean<\/strong><\/p>\n<p><a href=\"http:\/\/www.wseas.us\/e-library\/conferences\/2011\/Jakarta\/CIMISP\/CIMISP-25.pdf\">Read Full Paper<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The study is to compare the performance of iris recognition algorithm between the open source algorithm (Libor Masek) and the commercially available one (VeriEye by Neurotechnology).There are five processes to evaluate the performance: 1) resize the bath iris images\u2019 resolution from 1280&#215;960 to 640&#215;480, 2) convert the images from JPEG2000 to JPEG format, 3) convert [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":3121,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-407","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/407","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/comments?post=407"}],"version-history":[{"count":8,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/407\/revisions"}],"predecessor-version":[{"id":3122,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/407\/revisions\/3122"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media\/3121"}],"wp:attachment":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media?parent=407"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/categories?post=407"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/tags?post=407"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}