Face recognition using bit-plane feature extraction approach in neutal networks

Face recognition technology (FRT) has been studied and researched for over 30 years and nowadays it has variety of potential applications in security and law enforcement. It is extensively researched because of its potential to become a new method of interaction between human and machine without usi...

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Main Author:	Ting, Kung Chuang
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/3149/8/Face%20recognition%20using%20bit-plane%20feature%20extraction%20approach...%28fulltext%29.pdf
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id	my-unimas-ir.3149
record_format	uketd_dc
spelling	my-unimas-ir.31492023-05-08T07:39:35Z Face recognition using bit-plane feature extraction approach in neutal networks 2009 Ting, Kung Chuang TA Engineering (General). Civil engineering (General) Face recognition technology (FRT) has been studied and researched for over 30 years and nowadays it has variety of potential applications in security and law enforcement. It is extensively researched because of its potential to become a new method of interaction between human and machine without using any keyboard mouse. This will be able to replace conventional methods such as Personal Identity Number (PIN) and token system, which are vulnerable to forgery. This research presents a novel approach of face feature extraction using bit-level information which we called as bit-plane feature extraction method. The face databases used for evaluation are CMU AMP Face Expression Database and Yale Face Database. CMU AMP Face Expression Database consists of 13 subjects and each within 75 images while Yale Face Database only has 15 subjects with 11 images per subject. The research is concluded with proven result that bit-plane feature extraction is a reliable feature for face recognition due to its high recognition rate and ability in impostors’ rejection. Universiti Malaysia Sarawak, UNIMAS 2009 Thesis http://ir.unimas.my/id/eprint/3149/ http://ir.unimas.my/id/eprint/3149/8/Face%20recognition%20using%20bit-plane%20feature%20extraction%20approach...%28fulltext%29.pdf text en validuser masters Universiti Malaysia Sarawak (UNIMAS) Faculty of Engineering
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Ting, Kung Chuang Face recognition using bit-plane feature extraction approach in neutal networks
description	Face recognition technology (FRT) has been studied and researched for over 30 years and nowadays it has variety of potential applications in security and law enforcement. It is extensively researched because of its potential to become a new method of interaction between human and machine without using any keyboard mouse. This will be able to replace conventional methods such as Personal Identity Number (PIN) and token system, which are vulnerable to forgery. This research presents a novel approach of face feature extraction using bit-level information which we called as bit-plane feature extraction method. The face databases used for evaluation are CMU AMP Face Expression Database and Yale Face Database. CMU AMP Face Expression Database consists of 13 subjects and each within 75 images while Yale Face Database only has 15 subjects with 11 images per subject. The research is concluded with proven result that bit-plane feature extraction is a reliable feature for face recognition due to its high recognition rate and ability in impostors’ rejection.
format	Thesis
qualification_level	Master's degree
author	Ting, Kung Chuang
author_facet	Ting, Kung Chuang
author_sort	Ting, Kung Chuang
title	Face recognition using bit-plane feature extraction approach in neutal networks
title_short	Face recognition using bit-plane feature extraction approach in neutal networks
title_full	Face recognition using bit-plane feature extraction approach in neutal networks
title_fullStr	Face recognition using bit-plane feature extraction approach in neutal networks
title_full_unstemmed	Face recognition using bit-plane feature extraction approach in neutal networks
title_sort	face recognition using bit-plane feature extraction approach in neutal networks
granting_institution	Universiti Malaysia Sarawak (UNIMAS)
granting_department	Faculty of Engineering
publishDate	2009
url	http://ir.unimas.my/id/eprint/3149/8/Face%20recognition%20using%20bit-plane%20feature%20extraction%20approach...%28fulltext%29.pdf
_version_	1783727913872392192

Face recognition using bit-plane feature extraction approach in neutal networks

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