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:
Online Access:http://irep.iium.edu.my/7048/
http://irep.iium.edu.my/7048/1/InTech-Iris_recognition_system_using_support_vector_machines.pdf
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author Ali, Hasimah
Salami, Momoh Jimoh Emiyoka
author2 Riaz, Zahid
author_facet Riaz, Zahid
Ali, Hasimah
Salami, Momoh Jimoh Emiyoka
author_sort Ali, Hasimah
building IIUM Repository
collection Online Access
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.
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institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T14:35:29Z
publishDate 2011
publisher InTech - Open Access Publisher
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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
spellingShingle T Technology (General)
Ali, Hasimah
Salami, Momoh Jimoh Emiyoka
Iris recognition system using support vector machines
title 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_short Iris recognition system using support vector machines
title_sort iris recognition system using support vector machines
topic T Technology (General)
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