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: | Proceeding Paper |
| 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 |
| _version_ | 1848776756385808384 |
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| author | Ali, Hasimah Salami, Momoh Jimoh Eyiomika Martono, Wahyudi |
| author_facet | Ali, Hasimah Salami, Momoh Jimoh Eyiomika Martono, Wahyudi |
| author_sort | Ali, Hasimah |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T14:35:09Z |
| format | Proceeding Paper |
| id | iium-6954 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:35:09Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-69542017-06-22T07:48:03Z http://irep.iium.edu.my/6954/ Iris recognition system by using support vector machines Ali, Hasimah Salami, Momoh Jimoh Eyiomika Martono, Wahyudi T Technology (General) 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. 2008 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/6954/1/Iris_Recognition_System_by_Using_Support_Vector_Machines.pdf Ali, Hasimah and Salami, Momoh Jimoh Eyiomika and Martono, Wahyudi (2008) Iris recognition system by using support vector machines. In: International Conference on Computer and Communication Engineering, ICCCE'08, (13 - 15 May 2008) hosted at Kuala Lumpur Malaysia , 13-15 May 2008 , Kuala Lumpur, Malaysia. |
| spellingShingle | T Technology (General) Ali, Hasimah Salami, Momoh Jimoh Eyiomika Martono, Wahyudi Iris recognition system by using support vector machines |
| title | 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_short | Iris recognition system by using support vector machines |
| title_sort | iris recognition system by using support vector machines |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/6954/ http://irep.iium.edu.my/6954/1/Iris_Recognition_System_by_Using_Support_Vector_Machines.pdf |