Abstract
Fast feature matching process and high recognition rates are two important issues in face recognition systems. In this paper, a fuzzy neural network based face recognition system which addresses on these two subjects is proposed. This face recognition system uses a fuzzy linear mapping (FLM) for feature extraction and a fuzzy neural network (FNN) for fuzzy feature matching. Experimental results show that the proposed face recognition system has two advantages. First, higher recognition rates are achieved in comparison with statistical feature extraction methods. Second, feature matching process using fuzzy neural network is faster than minimum distance classifier.