Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7403
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Hasimah, Ali | - |
dc.contributor.author | Momoh, J. E. Salami | - |
dc.contributor.author | Wahyudi | - |
dc.date.accessioned | 2009-12-11T07:40:05Z | - |
dc.date.available | 2009-12-11T07:40:05Z | - |
dc.date.issued | 2008-05-13 | - |
dc.identifier.citation | p.516-521 | en_US |
dc.identifier.isbn | 978-1-4244-1691-2 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4580657 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7403 | - |
dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Computer and Communication Engineering (ICCCE08) | en_US |
dc.subject | Biometrics (Access control) | en_US |
dc.subject | Support vector machines | en_US |
dc.subject | Image recognition | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Iris recognition | en_US |
dc.subject | Biometric systems | en_US |
dc.title | Iris recognition system by using support vector machines | en_US |
dc.type | Working Paper | en_US |
dc.contributor.url | hashimah@unimap.edu.my | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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Abstract.pdf | 7.08 kB | Adobe PDF | View/Open |
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