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:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	T Technology (General)
Online Access:	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

id	iium-38999
recordtype	eprints
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 Conference or Workshop Item 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)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Tania, Umme T. Motakabber, S. M. A. Ibrahimy, Muhammad Ibn Template matching techniques for iris recognition system
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.
format	Conference or Workshop Item
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.
title	Template matching techniques for iris recognition system
title_short	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_sort	template matching techniques for iris recognition system
publishDate	2014
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
first_indexed	2023-09-18T20:56:01Z
last_indexed	2023-09-18T20:56:01Z
_version_	1777410309266341888

Template matching techniques for iris recognition system

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