Genetic Algorithms for Feature Selection in Face Recognition

This paper presents study of simple genetic algorithm and Parallel Genetic Algorithmic approach for feature selection in Face Recognition. This casts the recognition problem in Feature Extraction followed by Feature Selection. The former, adopts PCA technique to extract the eigenvectors of the face images whereas latter exploits the Parallel Genetic Algorithm to select the best set of eigenvectors. ORL face database has been used for experimentation. The simulation results reveal the efficiency and efficacy of the approach when compared with PCA and Simple Genetic Algorithm.