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: | , |
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| Other Authors: | |
| Format: | Book Chapter |
| Language: | English |
| Published: |
InTech - Open Access Publisher
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/7048/1/InTech-Iris_recognition_system_using_support_vector_machines.pdf http://irep.iium.edu.my/7048/ http://www.intechopen.com/books/show/title/biometric-systems-design-and-applications |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| 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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