A Human Face Recognition System Using Neural Classifiers

CC
CGIV
2007
Computer Graphics, Imaging and Visualisation (CGIV 2007)
Abstract - A Human Face Recognition System Using Neural Classifiers

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Xiaoyin Xu Articles by Majid Ahmadi

Computer Graphics, Imaging and Visualisation (CGIV 2007)

Bangkok, Thailand

August 14-August 17

ISBN: 0-7695-2928-3

	ASCII Text	x
	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

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

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

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.