Iris recognition system using support vector machines

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

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Abstract

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.

Item Type:	Book Chapter
Additional Information:	2470/7048
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	21 Nov 2011 16:31
Last Modified:	21 Nov 2011 23:37
URI:	http://irep.iium.edu.my/id/eprint/7048

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