Face Detection and Recognition Using Back Propagation Neural Network and Fourier Gabor Filters

Face recognition is a field of computer vision that uses faces to identify or verify a person. In this paper, we present a neural network system for face recognition. Feature vector based on Fourier Gabor filters are used as input of the Back Propagation Neural Network (BPNN). To extract the features vector of the whole face in image, we use an algorithm for detecting skin human faces in color images and then we introduce Gabor filters with 8 different orientations and 5 different resolutions to get maximum information. Experiments show that the proposed method yields results.