Study Of Face Recognition Based On Windows Mobile Embedded System

For some hardware limitations, many critical problems need to be solved in developing face recognition applications on embedded system. This thesis emphasized on developing a face recognition system on Windows Mobile equipment. The main contributions are as follows:1. Provided a survey of face recognitionThis thesis provided a survey of the history and present research status of face recognition, and summarized the popular algorithms in every period. This thesis also introduced some famous public face database and face recognition software development toolkits.2. Studied some critical problems in designing face recognition system on Windows MobileHow to capture face images effectively? How to detect and recognize the face on smart equipment? Which are main problems in developing face recognition system on Windows Mobile. This thesis used the Windows Mobile 5 API to capture face image from camera, and used FaceCell SDK from Neurotechnologija company in face detection. This thesis also studied the database problem of face recognition system.3. Developed a prototype system, and studied the problems of robustness and practicality in system design.This thesis studied the problems of robustness and practicality in system design, and developed a prototype system. At last, the experimental results on the prototype system were given.The research of this thesis would contribute to designing the face recognition system on Windows Mobile.