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Face Recognition using Improved FFT Based Radon by PSO and PCA Techniques
Hamid M. Hasan, Waleed A. AL.Jouhar, Majed A. Alwan
Pages - 26 - 37     |    Revised - 15-01-2012     |    Published - 21-02-2012
Volume - 6   Issue - 1    |    Publication Date - February 2012  Table of Contents
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KEYWORDS
: Face recognition (FR), Radon Transform (RT), Fast Fourier Transform (FFT), Principal Component Analysis (PCA), Particle Swarm Optimization (PSO)
ABSTRACT
Abstract Face Recognition is one of the problems which can be handled very well using a Hybrid technique or mixed transform rather than single technique, it is a very well in terms of a good performance and a large size of the problem. In this paper we represent the using of the Fourier-Based Radon Transform which is improved by the Particle Swarm Optimization (PSO). PSO in this research is used to select the optimum directions (projection angles) that achieve a very high recognition rate and a fast computation. The number of directions selected using PSO is less than the number required by ordinary Radon. This leads to a small number of features. These number of features are reduced farther using PCA to produce a low number of features which used to represent faces in the database. Our method has been applied to ORL Database and achieves 100% recognition rate.
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Mr. Hamid M. Hasan
University of technology - Iraq
hamid2012net@gmail.com
Professor Waleed A. AL.Jouhar
Electrical Eng. Dept. - Iraq
Dr. Majed A. Alwan
Electrical Eng. Dept , - Iraq


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