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Face Recognition Using Neural Network Based Fourier Gabor Filters & Random Projection
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International Journal of Computer Science and Security (IJCSS)
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Volume:  5    Issue:  3
Pages:  298-393
Publication Date:   July / August 2011
ISSN (Online): 1985-1553
Pages 
376 - 386
Author(s)  
Anissa Bouzalmat - Morocco
Naouar Belghini - Morocco
Arsalane Zarghili - Morocco
Jamal Kharroubi - Morocco
Aicha Majda - Morocco
 
Published Date   
05-08-2011 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Face Recognition, Fourier Transform, Gabor Filter, Neural Network, Sparse Random Projection 
 
 
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Face detection and recognition has many applications in a variety of fields such as authentication, security, video surveillance and human interaction systems. In this paper, we present a neural network system for face recognition. Feature vector based on Fourier Gabor filters is used as input of our classifier, which is a Back Propagation Neural Network (BPNN). The input vector of the network will have large dimension, to reduce its feature subspace we investigate the use of the Random Projection as method of dimensionality reduction. Theory and experiment indicates the robustness of our solution. 
 
 
 
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1 yasni
 
 
 
Anissa Bouzalmat : Colleagues
Naouar Belghini : Colleagues
Arsalane Zarghili : Colleagues
Jamal Kharroubi : Colleagues
Aicha Majda : Colleagues  
 
 
 
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