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...
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2008
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Subjects: | |
Online Access: | http://irep.iium.edu.my/6954/ http://irep.iium.edu.my/6954/1/Iris_Recognition_System_by_Using_Support_Vector_Machines.pdf |
Summary: | 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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