Multiresolution Hybrid Approaches for Automated Face Recognition

A
AHS
2007
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)
Abstract - Multiresolution Hybrid Approaches for Automated Face Recognition

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	Similar Articles Articles by Paul Nicholl Articles by Abbes Amira Articles by Djamel Bouchaffra Articles by Ronald H. Perrott

Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)

University of Edinburgh, Scotland, United Kingdom

August 05-August 08

ISBN: 0-7695-2866-X

	ASCII Text	x
	Paul Nicholl, Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott, "Multiresolution Hybrid Approaches for Automated Face Recognition," Adaptive Hardware and Systems, NASA/ESA Conference on, pp. 89-96, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007.

	BibTex	x
	@article{ 10.1109/AHS.2007.77, author = {Paul Nicholl and Abbes Amira and Djamel Bouchaffra and Ronald H. Perrott}, title = {Multiresolution Hybrid Approaches for Automated Face Recognition}, journal ={Adaptive Hardware and Systems, NASA/ESA Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2866-X}, pages = {89-96}, doi = {http://doi.ieeecomputersociety.org/10.1109/AHS.2007.77}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Adaptive Hardware and Systems, NASA/ESA Conference on TI - Multiresolution Hybrid Approaches for Automated Face Recognition SN - 0-7695-2866-X SP89 EP96 A1 - Paul Nicholl, A1 - Abbes Amira, A1 - Djamel Bouchaffra, A1 - Ronald H. Perrott, PY - 2007 KW - null VL - 0 JA - Adaptive Hardware and Systems, NASA/ESA Conference on ER -

Paul Nicholl, Queen?s University, Belfast, UK

Abbes Amira, Brunel University, UK

Djamel Bouchaffra, Oakland University, Rochester, MI

Ronald H. Perrott, Queen?s University, Belfast, UK

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AHS.2007.77

This paper presents an evaluation of three classifiers using the discrete wavelet transform (DWT) as a feature extractor. The thrust is to investigate the impact of DWT with its various filter banks on the HMM, PCA and SHMM classifiers. In addition, we have developed a novel approach that combines the multiresolution feature of the discrete wavelet transform with the local interactions of the facial structures expressed through the structural hidden Markov model (SHMM). Tests have been carried out on the AT&T and Essex face databases, which show that DWT/SHMM outperforms both the DWT/HMM and DWT/PCA with an 8% increase in accuracy.

Citation:

Paul Nicholl, Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott, "Multiresolution Hybrid Approaches for Automated Face Recognition," ahs, pp.89-96, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

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