New Approaches for Face Recognition Using Neural Networks

This paper propose new hybrid approaches for face recognition. Gabor wavelets representation of face images is an effective approach for both facial action recognition and face identification. Perform dimensionality reduction and linear discriminant analysis on the down sampled Gabor wavelet faces can increase the discriminant ability. Nearest feature space is extended to various similarity measures. In our experiments.. proposed Gabor wavelet faces combined with extended net feature space classifier shows very good performance, which can achieve 93 % maximum correct recognition rate on ORL data set without any pre-processing step.