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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6613| Title: | Iris recognition system by using support vector machines |
| Authors: | Ali, H. Salami, M.J.E Wahyudi |
| Keywords: | Learning systems Vectors Biometric systems Iris code Iris recognition Support vector machines Iris detection Image processing |
| Issue Date: | 2008 |
| Publisher: | Institute of Electrical and Electronics Engineering (IEEE) |
| Citation: | p. 516-521 |
| Series/Report no.: | Proceedings of the International Conference on Computer and Communication Engineering 2008 (ICCCE08) |
| Abstract: | 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. |
| Description: | Link to publisher's homepage at http://ieeexplore.ieee.org |
| URI: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4580657 http://dspace.unimap.edu.my/123456789/6613 |
| ISSN: | 4580620 |
| Appears in Collections: | School of Mechatronic Engineering (Articles) |
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