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Computer Graphics, Imaging and Visualisation (CGIV 2007)
A Human Face Recognition System Using Neural Classifiers
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," 2012 Ninth International Conference on Computer Graphics, Imaging and Visualization, 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 ={2012 Ninth International Conference on Computer Graphics, Imaging and Visualization}, 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 - 2012 Ninth International Conference on Computer Graphics, Imaging and Visualization 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 - 2012 Ninth International Conference on Computer Graphics, Imaging and Visualization ER - | |||
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
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