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Face Recognition Using Neural Network Based Fourier Gabor Filters & Random Projection
Anissa Bouzalmat, Naouar Belghini, Arsalane Zarghili, Jamal Kharroubi, Aicha Majda
Pages - 376 - 386     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 5   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
Face Recognition, Fourier Transform, Gabor Filter, Neural Network, Sparse Random Projection
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.
CITED BY (20)  
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Miss Anissa Bouzalmat
- Morocco
Miss Naouar Belghini
- Morocco
Mr. Arsalane Zarghili
- Morocco
Mr. Jamal Kharroubi
- Morocco
Mr. Aicha Majda
- Morocco

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