Analysis and performance of face recognition system using Gabor filter bank with HMM model

In this paper I present a biometrics system performing identification, of automatic face recognition. This system is based on Gabor features extraction using Gabor filter bank construction. For feature extraction the input image is convolve with log Gabor filter bank to select a set of informative and nonredundant Gabor features. The extracted features are again subjected to Discrete Radom Transform (DRT) to extract a sequence of feature vectors. The HMM (Hidden Markov Models) is used for matching the input face image to the stored images. The purpose of this research is to develop a novel, accurate and efficient face verification system.