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Iris recognition system by using support vector machines

Ali, Hasimah and Salami, Momoh Jimoh Eyiomika and Martono, Wahyudi (2008) Iris recognition system by using support vector machines. In: International Conference on Computer and Communication Engineering, ICCCE'08, (13 - 15 May 2008) hosted at Kuala Lumpur Malaysia , 13-15 May 2008 , Kuala Lumpur, Malaysia.

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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: Conference or Workshop Item (Speech/Talk)
Additional Information: 3352/6954
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof Momoh-Jimoh Salami
Date Deposited: 08 May 2013 17:05
Last Modified: 22 Jun 2017 15:48
URI: http://irep.iium.edu.my/id/eprint/6954

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