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Iris recognition system for Non ideal cases / Amr Abdelraheem Tammam Ahmed ; Supervised Neamat Sayed Abdelkader , Ahmed Hussein Khalil

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Amr Abdelraheem Tammam Ahmed , 2016Description: 109 P. : charts , facsimiles ; 30cmOther title:
  • نظام التعرف على قزحية العين للحالات الغير مثالية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Summary: In the presented work, matched filter and Bi-orthogonal wavelet network techniques are used for implementing iris recognition system. Five different standard databases are used to test that system, also same technique used for solving non ideal cases. The results were compared with previous work. Also, the results were compared with results from daugman approach which implemented in the presented work. The algorithm shows a great efficiency in finding an optimum recognition rate for the known five standard iris databases in reasonable time. Thus, the algorithm shown to be ready for application on real world problems
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2016.Am.I (Browse shelf(Opens below)) Not for loan 01010110071085000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2016.Am.I (Browse shelf(Opens below)) 71085.CD Not for loan 01020110071085000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication

In the presented work, matched filter and Bi-orthogonal wavelet network techniques are used for implementing iris recognition system. Five different standard databases are used to test that system, also same technique used for solving non ideal cases. The results were compared with previous work. Also, the results were compared with results from daugman approach which implemented in the presented work. The algorithm shows a great efficiency in finding an optimum recognition rate for the known five standard iris databases in reasonable time. Thus, the algorithm shown to be ready for application on real world problems

Issued also as CD

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