Iris recognition system by using support vector machines
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Institute of Electrical and Electronics Engineering (IEEE)
2009
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my.unimap-66132010-11-23T06:13:33Z Iris recognition system by using support vector machines Ali, H. Salami, M.J.E Wahyudi Learning systems Vectors Biometric systems Iris code Iris recognition Support vector machines Iris detection Image processing Link to publisher's homepage at http://ieeexplore.ieee.org 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. 2009-07-29T08:27:20Z 2009-07-29T08:27:20Z 2008 Article p. 516-521 4580620 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4580657 http://hdl.handle.net/123456789/6613 en Proceedings of the International Conference on Computer and Communication Engineering 2008 (ICCCE08) Institute of Electrical and Electronics Engineering (IEEE) |
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| language |
English |
| topic |
Learning systems Vectors Biometric systems Iris code Iris recognition Support vector machines Iris detection Image processing |
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Learning systems Vectors Biometric systems Iris code Iris recognition Support vector machines Iris detection Image processing Ali, H. Salami, M.J.E Wahyudi Iris recognition system by using support vector machines |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org |
| format |
Article |
| author |
Ali, H. Salami, M.J.E Wahyudi |
| author_facet |
Ali, H. Salami, M.J.E Wahyudi |
| author_sort |
Ali, H. |
| 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 |
| publisher |
Institute of Electrical and Electronics Engineering (IEEE) |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/6613 |
| _version_ |
1643788570862813184 |
| score |
13.222552 |