Research and Design of Fast Special Human Face Recognition System

During the use of face recognition systems appears the problems such as the system can not find a face and has not enough information of the image, changing illumination, occlusion, face shape changes and so on. In order to solve the current problems and improve the ability of face recognition and detection, new methods for data acquisition and some tools are adopted, and the application development of improved face recognition system is proposed based on ARM architecture design, software development of face recognition system is taken in ARM embedded platform. The solve project for the acquisition of three-dimensional face data, biometric recognition, computer vision, computer graphics is researched and designed. The image edge contour detection method is used for face image features positioning. The adaptive feature extraction method of image entropy is used for facial feature extraction, the face recognition algorithm is optimized, and the face image output module is constructed. The simulation results show that the face recognition system designed in this paper has good robustness performance, and it can improve the accurate probability of face recognition.