Iris recognition system by 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 Eyiomika, Martono, Wahyudi
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/6954/ http://irep.iium.edu.my/6954/1/Iris_Recognition_System_by_Using_Support_Vector_Machines.pdf

id	iium-6954
recordtype	eprints
spelling	iium-69542017-06-22T07:48:03Z http://irep.iium.edu.my/6954/ Iris recognition system by using support vector machines Ali, Hasimah Salami, Momoh Jimoh Eyiomika Martono, Wahyudi 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. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/6954/1/Iris_Recognition_System_by_Using_Support_Vector_Machines.pdf 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.
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 Eyiomika Martono, Wahyudi Iris recognition system by 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.
format	Conference or Workshop Item
author	Ali, Hasimah Salami, Momoh Jimoh Eyiomika Martono, Wahyudi
author_facet	Ali, Hasimah Salami, Momoh Jimoh Eyiomika Martono, Wahyudi
author_sort	Ali, Hasimah
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
publishDate	2008
url	http://irep.iium.edu.my/6954/ http://irep.iium.edu.my/6954/1/Iris_Recognition_System_by_Using_Support_Vector_Machines.pdf
first_indexed	2023-09-18T20:16:08Z
last_indexed	2023-09-18T20:16:08Z
_version_	1777407799527997440

Iris recognition system by using support vector machines

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