Iris Recognition using Gabor Filters Optimized by Genetic Algorithm and Particle Swarm Optimization

Abstract: In this paper, Gabor filters based optimal feature extraction method has been presented for iris recognition system. Later, the Gabor filters resultant iris images will be optimized using particle swarm optimization and Genetic Algorithm optimization technique. Initially in the pre-processing step the image is binarized and normalized to rectangular blocks which are then decomposed by the optimal Gabor filters using HCT. Experimental results show that the performance of the proposed method is encouraging in comparison to the traditional method .This whole simulation is being done in MATLAB 2010a environment with FAR, FRR and accuracy as parameters.

Keywords: Iris Recognition, Genetic Algorithm, Particle Swarm Optimization, Fusion, Gabor Filters.