Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost

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Bibliographic Details
Main Author:	Chan , Lih Heng
Format:	Thesis
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.16616
record_format	uketd_dc
spelling	my-utm-ep.166162017-09-25T15:18:32Z Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost 2010 Chan , Lih Heng TK Electrical engineering. Electronics Nuclear engineering 2010 Thesis http://eprints.utm.my/id/eprint/16616/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Performances+comparison+of+principal+component+and+linear+discriminant+analysis+based+face+biometrics+using+artificial+neural+network+and+adaboost&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Chan , Lih Heng Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost
description
format	Thesis
qualification_level	Master's degree
author	Chan , Lih Heng
author_facet	Chan , Lih Heng
author_sort	Chan , Lih Heng
title	Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost
title_short	Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost
title_full	Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost
title_fullStr	Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost
title_full_unstemmed	Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost
title_sort	performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747815086322352128

Performances comparison of principal component and linear discriminant analysis based face biometrics using artificial neural network and adaboost

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