Design of an Authentication System Based on Face Recognition and the Second Generation ID Detection

Abstract

Combined with the knowledge of BP neural network and template matching, a new face recognition method was given. It matched the face image which was identified with the serial number and corresponding to the face model that based on random sequence in the matching process. The acquisition image should be preprocessed in filtering, smoothing and sharpening way by using BP neural network learning ability and classification ability which can achieve classifier. By using the actual face, it verify the correctness and reliability of the hardware and software design, manifest a good authentication capabilities and provide a reference for the research of similar products.