Research On The Face Recognition Algorithm On Time And Attendance Access Control System

The system of face recognition access control time and attendance is an important application of face recognition technology, which can enable enterprises to more rational and effective for staff management, and even bring the Face Time of the access control. As a core technology of time and attendance access control, face recognition technology mainly covering the pattern recognition, image processing, computer vision, physiology and other basic subjects, so the progress of face recognition technology will also affect the development of these related disciplines directly. At the same time, the performance of the access control system is affected by the performance of the face recognition directly. This paper study on the face recognition algorithm of the face recognition access control attendance system, which requires good robust for the outside interference. The main content can be summarized as follows:1. Firstly, the significance and the presently research situation of face recognition access control time and attendance are analyzed. Then, a number of fundamental issues of the face recognition access control time and attendance is shown, and the algorithms of the face detection and face recognition access control time and attendance. In view of the difficulties existed in face recognition access control time and attendance, this paper made some analysis.2. Researched the LDA (Linear discriminant Analysis) and local reconstruction algorithms, a new face recognition which combined the sub-block reconstruction with LDA algorithm is presented. The new algorithm extracted the overall characteristics and the local facial features, which can enhance the power of discrimination feature. The experimental results show the validity of the new algorithm.3. A new algorithm which combined the elastic matching with the interest filter's algorithm is proposed, the algorithm firstly extracted the new features and then applied the PCA(Principle Component Analysis) method for face recognition. The performance of the new algorithm has been demonstrated by experiments.