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

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Chan , Lih Heng
التنسيق: أطروحة
منشور في: 2010
الموضوعات:
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id my-utm-ep.16616
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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