Face Recognition Using Gabor Feature with Small Samples

Face representation and feature extraction are the key problems to face recognition. We perform feature selection based on PDM and discriminating power of Gabor features in different locations, orientations and scales. Experiments show that these methods achieve higher recognition rate with fewer features. In the paper we have also proposed a novel face recognition method based on active shape model (ASM) and Gabor transform.