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Performance evaluation of face verification: a comparative study on different classifiers

The task offace verification is to verify the identity or decide whether the a priori user is an impostor or not from the known a priori identity of the user. The paper presents the performance evaluation carried out using different classifiers for face verification. The paper initially describes th...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Nazeer, Shahrin Azuan, Khalid, Mazuki, Omar, Nazaruddin, Awang, Mat Kamil
التنسيق: Conference or Workshop Item
اللغة:English
منشور في: 2007
الموضوعات:
QA75 Electronic computers. Computer science
TR Photography
الوصول للمادة أونلاين:http://eprints.utm.my/id/eprint/10113/1/ShahrinAzuanNazeer2007_Perfor...luationOfFaceVerification.pdf
http://eprints.utm.my/id/eprint/10113/
http://www.cita07.org
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id my.utm.10113
record_format eprints
spelling my.utm.101132010-08-26T08:53:38Z http://eprints.utm.my/id/eprint/10113/ Performance evaluation of face verification: a comparative study on different classifiers Nazeer, Shahrin Azuan Khalid, Mazuki Omar, Nazaruddin Awang, Mat Kamil QA75 Electronic computers. Computer science TR Photography The task offace verification is to verify the identity or decide whether the a priori user is an impostor or not from the known a priori identity of the user. The paper presents the performance evaluation carried out using different classifiers for face verification. The paper initially describes the approaches used for the face representation. and classification of face verification system. It then evaluates the performance of the system by applying three types of classifier: template-based matching, artificial neural network classifier. and Bayesian classifier based on AT & T and local face daJasets. The measures used for performance evaluation are the false acceptance rate (FAR) and false rejection rate (FAR). Based on the experimental results, the artificial neural network classifier provides promising results for face verification with FAR of 4.44% and FRR 4.50% using AT&T face daJaset, and FAR of 3.88 and FRR 4.00 % using local face dataset. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/10113/1/ShahrinAzuanNazeer2007_Perfor...luationOfFaceVerification.pdf Nazeer, Shahrin Azuan and Khalid, Mazuki and Omar, Nazaruddin and Awang, Mat Kamil (2007) Performance evaluation of face verification: a comparative study on different classifiers. In: Fifth International Conference on Information Technology in Asia 2007, 9-12th July 2007, Kuching, Sarawak, Malaysia. http://www.cita07.org
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
TR Photography
spellingShingle QA75 Electronic computers. Computer science
TR Photography
Nazeer, Shahrin Azuan
Khalid, Mazuki
Omar, Nazaruddin
Awang, Mat Kamil
Performance evaluation of face verification: a comparative study on different classifiers
description The task offace verification is to verify the identity or decide whether the a priori user is an impostor or not from the known a priori identity of the user. The paper presents the performance evaluation carried out using different classifiers for face verification. The paper initially describes the approaches used for the face representation. and classification of face verification system. It then evaluates the performance of the system by applying three types of classifier: template-based matching, artificial neural network classifier. and Bayesian classifier based on AT & T and local face daJasets. The measures used for performance evaluation are the false acceptance rate (FAR) and false rejection rate (FAR). Based on the experimental results, the artificial neural network classifier provides promising results for face verification with FAR of 4.44% and FRR 4.50% using AT&T face daJaset, and FAR of 3.88 and FRR 4.00 % using local face dataset.
format Conference or Workshop Item
author Nazeer, Shahrin Azuan
Khalid, Mazuki
Omar, Nazaruddin
Awang, Mat Kamil
author_facet Nazeer, Shahrin Azuan
Khalid, Mazuki
Omar, Nazaruddin
Awang, Mat Kamil
author_sort Nazeer, Shahrin Azuan
title Performance evaluation of face verification: a comparative study on different classifiers
title_short Performance evaluation of face verification: a comparative study on different classifiers
title_full Performance evaluation of face verification: a comparative study on different classifiers
title_fullStr Performance evaluation of face verification: a comparative study on different classifiers
title_full_unstemmed Performance evaluation of face verification: a comparative study on different classifiers
title_sort performance evaluation of face verification: a comparative study on different classifiers
publishDate 2007
url http://eprints.utm.my/id/eprint/10113/1/ShahrinAzuanNazeer2007_Perfor...luationOfFaceVerification.pdf
http://eprints.utm.my/id/eprint/10113/
http://www.cita07.org
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score 13.251813

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