Cover Image

Iris recognition system by using support vector machines

Link to publisher's homepage at http://ieeexplore.ieee.org

Saved in:
Bibliographic Details
Main Authors: Hasimah, Ali, Momoh, J. E. Salami, Wahyudi
Other Authors: hashimah@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2009
Subjects:
Biometrics (Access control)
Support vector machines
Image recognition
Feature extraction
Iris recognition
Biometric systems
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7403
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-7403
record_format dspace
spelling my.unimap-74032010-11-24T02:21:43Z Iris recognition system by using support vector machines Hasimah, Ali Momoh, J. E. Salami Wahyudi hashimah@unimap.edu.my Biometrics (Access control) Support vector machines Image recognition Feature extraction Iris recognition Biometric systems 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. 2009-12-11T07:40:05Z 2009-12-11T07:40:05Z 2008-05-13 Working Paper p.516-521 978-1-4244-1691-2 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4580657 http://hdl.handle.net/123456789/7403 en Proceedings of the International Conference on Computer and Communication Engineering (ICCCE08) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Biometrics (Access control)
Support vector machines
Image recognition
Feature extraction
Iris recognition
Biometric systems
spellingShingle Biometrics (Access control)
Support vector machines
Image recognition
Feature extraction
Iris recognition
Biometric systems
Hasimah, Ali
Momoh, J. E. Salami
Wahyudi
Iris recognition system by using support vector machines
description Link to publisher's homepage at http://ieeexplore.ieee.org
author2 hashimah@unimap.edu.my
author_facet hashimah@unimap.edu.my
Hasimah, Ali
Momoh, J. E. Salami
Wahyudi
format Working Paper
author Hasimah, Ali
Momoh, J. E. Salami
Wahyudi
author_sort Hasimah, Ali
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 Engineers (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7403
_version_ 1643788804824236032
score 13.214268

Similar Items