Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches

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Main Author: Nazeer, Shahrin Azuan
Format: Thesis
Published: 2008
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id my-utm-ep.12167
record_format uketd_dc
spelling my-utm-ep.121672013-12-18T07:03:25Z Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches 2008 Nazeer, Shahrin Azuan TK Electrical engineering. Electronics Nuclear engineering 2008 Thesis http://eprints.utm.my/id/eprint/12167/ phd doctoral 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
Nazeer, Shahrin Azuan
Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches
description
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Nazeer, Shahrin Azuan
author_facet Nazeer, Shahrin Azuan
author_sort Nazeer, Shahrin Azuan
title Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches
title_short Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches
title_full Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches
title_fullStr Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches
title_full_unstemmed Enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches
title_sort enhancement of face recognition systems using photometric normalization, linear subspace and artificial neural network approaches
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2008
_version_ 1747814901999468544