Iris recognition system by using support vector machines

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Main Authors: Ali, H., Salami, M.J.E, Wahyudi
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2009
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6613
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-66132010-11-23T06:13:33Z Iris recognition system by using support vector machines Ali, H. Salami, M.J.E Wahyudi Learning systems Vectors Biometric systems Iris code Iris recognition Support vector machines Iris detection Image processing Link to publisher's homepage at http://ieeexplore.ieee.org In recent years, with the increasing demands of security in our networked society, biometric systems for user verification are becoming more popular. Iris recognition system is a new technology for user verification. In this paper, the CASIA iris database is used for individual user's verification by using support vector machines (SVMs) which based on the analysis of iris code as feature extraction is discussed. This feature is then used to recognize authentic users and to reject impostors. Support Vector Machines (SVMs) technique was used for the classification process. The proposed method is evaluated based upon False Rejection Rate (FRR) and False Acceptance Rate (FAR) and the experimental result show that this technique produces good performance. 2009-07-29T08:27:20Z 2009-07-29T08:27:20Z 2008 Article p. 516-521 4580620 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4580657 http://hdl.handle.net/123456789/6613 en Proceedings of the International Conference on Computer and Communication Engineering 2008 (ICCCE08) Institute of Electrical and Electronics Engineering (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Learning systems
Vectors
Biometric systems
Iris code
Iris recognition
Support vector machines
Iris detection
Image processing
spellingShingle Learning systems
Vectors
Biometric systems
Iris code
Iris recognition
Support vector machines
Iris detection
Image processing
Ali, H.
Salami, M.J.E
Wahyudi
Iris recognition system by using support vector machines
description Link to publisher's homepage at http://ieeexplore.ieee.org
format Article
author Ali, H.
Salami, M.J.E
Wahyudi
author_facet Ali, H.
Salami, M.J.E
Wahyudi
author_sort Ali, H.
title Iris recognition system by using support vector machines
title_short Iris recognition system by using support vector machines
title_full Iris recognition system by using support vector machines
title_fullStr Iris recognition system by using support vector machines
title_full_unstemmed Iris recognition system by using support vector machines
title_sort iris recognition system by using support vector machines
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6613
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