Research Of Face Recognition Technology In Video

Biometrics means automatically identification of an individual based on their biological features such as fingerprint, face and iris or behavioral traits such as signature, speech and gait. Facial images are probably the most common and on-intrusive biometric characteristic for personal identification. Face recognition can be applied to the entrance control in various fields, such as banks, libraries, etc. In this paper,to makes the entrance control more automatic and more effective,a real-time video security system based on face recognition is proposed using methods of image processing and the pattern recognition.Video face recognition consists of three parts: human face detecting in single frame, human face tracing of video, identification of human face image sequences. This dissertation is focused on these three parts and practical video security system is set up for financial business outlets management. A new method of face detection applied to the system is proposed. Considering the situation of the system, difference detection and skin color mapping are used to detect and locate the faces .A method is proposed to solve target tracking problem of the moving object under occlusion efficiently that is a combination of the center of mass and Kalman filter. The simulation experiments show that the tracking is robust to partial or short-time occlusion. As to the face recognition, the method is based on geometrical features in part by a chin contours as new features. In the process of feature points extraction, variance projection and edge detection are used by precise positioning of the eyes , mouth, nose and chin contours of face. At last, similarity of two face image feature vectors is calculated, and a proper threshold is selected to judge whether the two face images belong to the same person.The experiments proved that this method has simpler arithmetic and higher recognition rate.