Template matching techniques for iris recognition system

Security and authentication is one of the major parts of our daily life. Iris is one of the most reliable forms of identification object in the human body. To develop an iris authentication algorithm for personal identification, this paper describes techniques for matching two bitwise biomet...

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Main Authors: Tania, Umme T., Motakabber, S. M. A., Ibrahimy, Muhammad Ibn
Format: Proceeding Paper
Language:English
English
Published: 2014
Subjects:
Online Access:http://irep.iium.edu.my/38999/
http://irep.iium.edu.my/38999/1/38999_edited.pdf
http://irep.iium.edu.my/38999/4/38999_Template%20matching%20techniques%20for%20iris%20recognition%20system_Scopus.pdf
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author Tania, Umme T.
Motakabber, S. M. A.
Ibrahimy, Muhammad Ibn
author_facet Tania, Umme T.
Motakabber, S. M. A.
Ibrahimy, Muhammad Ibn
author_sort Tania, Umme T.
building IIUM Repository
collection Online Access
description Security and authentication is one of the major parts of our daily life. Iris is one of the most reliable forms of identification object in the human body. To develop an iris authentication algorithm for personal identification, this paper describes techniques for matching two bitwise biometric templates. The experimental result shows that the developed algorithm has good performance to check whether two templates are generated from same iris or not. The algorithm performs perfect recognition of a set of 94 eye images courtesy of The Chinese Academy of Sciences – Institute of Automation (CASIA). Algorithm showed 0% false accepted and 4% false rejection rate.
first_indexed 2025-11-14T15:53:49Z
format Proceeding Paper
id iium-38999
institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T15:53:49Z
publishDate 2014
recordtype eprints
repository_type Digital Repository
spelling iium-389992017-09-19T11:17:39Z http://irep.iium.edu.my/38999/ Template matching techniques for iris recognition system Tania, Umme T. Motakabber, S. M. A. Ibrahimy, Muhammad Ibn T Technology (General) Security and authentication is one of the major parts of our daily life. Iris is one of the most reliable forms of identification object in the human body. To develop an iris authentication algorithm for personal identification, this paper describes techniques for matching two bitwise biometric templates. The experimental result shows that the developed algorithm has good performance to check whether two templates are generated from same iris or not. The algorithm performs perfect recognition of a set of 94 eye images courtesy of The Chinese Academy of Sciences – Institute of Automation (CASIA). Algorithm showed 0% false accepted and 4% false rejection rate. 2014-09 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/38999/1/38999_edited.pdf application/pdf en http://irep.iium.edu.my/38999/4/38999_Template%20matching%20techniques%20for%20iris%20recognition%20system_Scopus.pdf Tania, Umme T. and Motakabber, S. M. A. and Ibrahimy, Muhammad Ibn (2014) Template matching techniques for iris recognition system. In: 5th International Conference on Computer and Communication Engineering, 23-25 September, 2014, Kuala Lumpur, Malaysia. https://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7031587&filter%3DAND(p_IS_Number%3A7031550)
spellingShingle T Technology (General)
Tania, Umme T.
Motakabber, S. M. A.
Ibrahimy, Muhammad Ibn
Template matching techniques for iris recognition system
title Template matching techniques for iris recognition system
title_full Template matching techniques for iris recognition system
title_fullStr Template matching techniques for iris recognition system
title_full_unstemmed Template matching techniques for iris recognition system
title_short Template matching techniques for iris recognition system
title_sort template matching techniques for iris recognition system
topic T Technology (General)
url http://irep.iium.edu.my/38999/
http://irep.iium.edu.my/38999/
http://irep.iium.edu.my/38999/1/38999_edited.pdf
http://irep.iium.edu.my/38999/4/38999_Template%20matching%20techniques%20for%20iris%20recognition%20system_Scopus.pdf