Face recognition by neural network using bit-planes extracted from an image

An 8-bit digital image consists of 256 levels of gray-value and 8 layers of multilevel information of bits known as bit-plane information. A novel method utilizing higher order bit-plane information that contains majority of visually signi_cant data and dummy blank images as inputs to a multilayer f...

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Main Authors: Ting, K.C, Tan, J.Y.B., Lee, T.Z, Bong, David B L
Format: E-Article
Language:English
Published: Binary Information Press 2013
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Online Access:http://ir.unimas.my/id/eprint/15852/1/Face_Recognition_by_Neural_Network_Using_Bit-plane%20%28abstrak%29.pdf
http://ir.unimas.my/id/eprint/15852/
http://www.jic.org.uk/
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spelling my.unimas.ir.158522017-05-03T00:37:45Z http://ir.unimas.my/id/eprint/15852/ Face recognition by neural network using bit-planes extracted from an image Ting, K.C Tan, J.Y.B. Lee, T.Z Bong, David B L QA75 Electronic computers. Computer science An 8-bit digital image consists of 256 levels of gray-value and 8 layers of multilevel information of bits known as bit-plane information. A novel method utilizing higher order bit-plane information that contains majority of visually signi_cant data and dummy blank images as inputs to a multilayer feedforward Neural Network (NN) is proposed in this paper to perform face recognition. Experiments performed on the proposed face recognition model using two face databases, namely CMU AMP face expression database and Yale face database, show improvement in recognition rate compared to using only gray-level images as inputs to the NN. Binary Information Press 2013 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/15852/1/Face_Recognition_by_Neural_Network_Using_Bit-plane%20%28abstrak%29.pdf Ting, K.C and Tan, J.Y.B. and Lee, T.Z and Bong, David B L (2013) Face recognition by neural network using bit-planes extracted from an image. Journal of Information & Computational Science, 10 (16). pp. 1-9. ISSN 1548-7741 http://www.jic.org.uk/ DOI: 10.12733/jics20102079
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ting, K.C
Tan, J.Y.B.
Lee, T.Z
Bong, David B L
Face recognition by neural network using bit-planes extracted from an image
description An 8-bit digital image consists of 256 levels of gray-value and 8 layers of multilevel information of bits known as bit-plane information. A novel method utilizing higher order bit-plane information that contains majority of visually signi_cant data and dummy blank images as inputs to a multilayer feedforward Neural Network (NN) is proposed in this paper to perform face recognition. Experiments performed on the proposed face recognition model using two face databases, namely CMU AMP face expression database and Yale face database, show improvement in recognition rate compared to using only gray-level images as inputs to the NN.
format E-Article
author Ting, K.C
Tan, J.Y.B.
Lee, T.Z
Bong, David B L
author_facet Ting, K.C
Tan, J.Y.B.
Lee, T.Z
Bong, David B L
author_sort Ting, K.C
title Face recognition by neural network using bit-planes extracted from an image
title_short Face recognition by neural network using bit-planes extracted from an image
title_full Face recognition by neural network using bit-planes extracted from an image
title_fullStr Face recognition by neural network using bit-planes extracted from an image
title_full_unstemmed Face recognition by neural network using bit-planes extracted from an image
title_sort face recognition by neural network using bit-planes extracted from an image
publisher Binary Information Press
publishDate 2013
url http://ir.unimas.my/id/eprint/15852/1/Face_Recognition_by_Neural_Network_Using_Bit-plane%20%28abstrak%29.pdf
http://ir.unimas.my/id/eprint/15852/
http://www.jic.org.uk/
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score 13.160551