Design And Implementation Of Security System Of Pursuit Escaped Criminal Based On Multi-angle Face Recognition

In the field of pattern recognition and computer vision, facial as a very important biometrics, and it’s non-contact, convenient, and reliable making it the most promising authentication methods. It has great potential value in economic, security, social secu-rity, crime, military and other fields.Combined with practical application scenarios of security gates, considering the relative stability and detect speed advantages of skin detection method for regional pre-positioning, the system used face detection methods based on color segmentation, In the YCbCr color space, using the Gaussian distribution model split skin, get the similar face area, and process images by morphological operation, get the face candi-date region. The method to be implemented through the skin detection optimized front AdaBoost face detection, for low accurate color detection rate and low detection effi-ciency of AdaBoost in HD monitor screen. While for multi-pose face problems under multi-perspective, we use the pyramid type classifier structure to decompose large at-titude angle range of face detection problem into several small gesture face detection angle range of issues, which solves the multi-pose face detection effectively. In face recognition, this paper presents a recognition method related to gesture, its principle is to establish multi-pose face database to guarantee that a particular gesture face matches the face in a particular library. The system used vs2010development tools designed to achieve multi-angle pursuit of security systems in the Windows environment through the three-way analog cameras.