Face Recognition Using Improved FFT Based Radon by PSO and PCA Techniques

Face Recognition is one of the problems which can be handled very well using Hybrid techniquesor mixed transform rather than single technique. This paper deals with using of Radon Transformfollowed by PCA and LDA techniques for Face Recognition. The data used are 2D Face Imagesfrom ORL Database. The Radon Transform used is based on FFT slice theorem. The directionsalong which the Radon transform is performed are selected using PSO in order to achieve a goodrecognition rate. The best directions selected are less computation expensive as compared to thefull set of directions and achieve good recognition rate. The PCA is used to reduce the dimensionof the data produced by Radon Transform and the LDA is used to find a set of basis vectorswhich maximizes the ratio between-class scatter and within–class scatter. In order to verify ourmethod many dataset partitioning scenarios into training set and testing set were conducted. Andthe maximum recognition rate achieved was 97.5%.