Iris recognition system using support vector machines

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 verificat...

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Main Authors:	Ali, Hasimah, Salami, Momoh Jimoh Emiyoka
Other Authors:	Riaz, Zahid
Format:	Book Chapter
Language:	English
Published:	InTech - Open Access Publisher 2011
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/7048/ http://irep.iium.edu.my/7048/ http://irep.iium.edu.my/7048/1/InTech-Iris_recognition_system_using_support_vector_machines.pdf

id	iium-7048
recordtype	eprints
spelling	iium-70482011-11-21T15:37:17Z http://irep.iium.edu.my/7048/ Iris recognition system using support vector machines Ali, Hasimah Salami, Momoh Jimoh Emiyoka T Technology (General) 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. InTech - Open Access Publisher Riaz, Zahid 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/7048/1/InTech-Iris_recognition_system_using_support_vector_machines.pdf Ali, Hasimah and Salami, Momoh Jimoh Emiyoka (2011) Iris recognition system using support vector machines. In: Biometric Systems, Design and Applications. InTech - Open Access Publisher, Rijeka, Croatia, pp. 169-182. ISBN 978-953-307-542-6 http://www.intechopen.com/books/show/title/biometric-systems-design-and-applications
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ali, Hasimah Salami, Momoh Jimoh Emiyoka Iris recognition system using support vector machines
description	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.
author2	Riaz, Zahid
author_facet	Riaz, Zahid Ali, Hasimah Salami, Momoh Jimoh Emiyoka
format	Book Chapter
author	Ali, Hasimah Salami, Momoh Jimoh Emiyoka
author_sort	Ali, Hasimah
title	Iris recognition system using support vector machines
title_short	Iris recognition system using support vector machines
title_full	Iris recognition system using support vector machines
title_fullStr	Iris recognition system using support vector machines
title_full_unstemmed	Iris recognition system using support vector machines
title_sort	iris recognition system using support vector machines
publisher	InTech - Open Access Publisher
publishDate	2011
url	http://irep.iium.edu.my/7048/ http://irep.iium.edu.my/7048/ http://irep.iium.edu.my/7048/1/InTech-Iris_recognition_system_using_support_vector_machines.pdf
first_indexed	2023-09-18T20:16:17Z
last_indexed	2023-09-18T20:16:17Z
_version_	1777407809648852992

Iris recognition system using support vector machines

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