A Human Face Recognition System Using Neural Classifiers

Bangkok, Thailand August 14-August 17

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http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.6

Computer Graphics, Imaging and Visual ...

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	Xiaoyin Xu, Majid Ahmadi, "A Human Face Recognition System Using Neural Classifiers," Computer Graphics, Imaging and Visualization, International Conference on, pp. 354-357, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007.

	BibTex	x
	@article{ 10.1109/CGIV.2007.6, author = {Xiaoyin Xu and Majid Ahmadi}, title = {A Human Face Recognition System Using Neural Classifiers}, journal ={Computer Graphics, Imaging and Visualization, International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2928-3}, pages = {354-357}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.6}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Graphics, Imaging and Visualization, International Conference on TI - A Human Face Recognition System Using Neural Classifiers SN - 0-7695-2928-3 SP354 EP357 A1 - Xiaoyin Xu, A1 - Majid Ahmadi, PY - 2007 KW - null VL - 0 JA - Computer Graphics, Imaging and Visualization, International Conference on ER -

Xiaoyin Xu, University of Windsor, Canada

Majid Ahmadi, University of Windsor, Canada

Traditional subspace methods for face recognition, from the original Eigenfaces technique to the recently introduced Laplacianfaces method, measure the similarity between images after projecting them onto a face subspace. In this paper, we present a robust face recognition system that uses a neural classifier and Laplacianfaces method. Computer simulation shows that the proposed algorithm has better noise immunity and yields higher recognition rate compared with several conventional face recognition algorithms

Citation:

Xiaoyin Xu, Majid Ahmadi, "A Human Face Recognition System Using Neural Classifiers," cgiv, pp.354-357, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007

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