Design And Realizes Of Face Recognition Attendance Management System Based On SURF Algorithm

Attendance system plays an important role in the modern personnel management work, in order to improve the efficiency of personnel management, reduce the management cost, automatic attendance system, more and more companies and even government departments attention. How accurate are efficient attendance and staff more by all the attention of employers, the government, enterprises employing units attendance requirements and develop a face recognition attendance system based on the SURF algorithm, mainly used for attendance management to the staff, but also on the point of access control. To meet the general attendance machine function at the same time, particularly for factory plant these special needs of enterprises for design. The system improves the attendance machine attendance efficiency through the method of computer automation and manual checking attendance information, so that it can better meet the factory and other large enterprises rapid attendance requirements.The design includes attendance system, attendance machine and attendance management system, according to the number of the factory field many employees, employees attendance machine work easily through congestion occurs, need efficient and accurate attendance solutions, attendance machine uses face recognition system with identity card for fast acquisition of employee attendance information. Identity card identification staff identity, and help the face recognition module on the confirmation of identity. This kind of classification identification attendance than direct identification from large databases is more rapid and accurate. Employees use the card to confirm the identity of the initial attendance process without adjusting posture, only need the attendance machine for more than 0.3 seconds to complete the image acquisition system, combined with the identity card identity information comparison, greatly improve the speed and reduce the attendance by staff with the requirements. And the system also provides manual on the identity of the function, on the face recognition of the similarity of the low staff, the system will automatically result and attendance at the photos uploaded to the attendance management system, to confirm the identity of the attendance management personnel. This semi automatic identity recognition mechanism to ensure attendance by speed and reduce the possibility of cheating in attendance.Face recognition using ASM face detection algorithm with SURF face matching method. The algorithm is efficient, accurate and reliable, change in the face of scale variation and angle of good robustness, and can adapt to changes in facial expressions and illumination changes. Feature point system on SURF algorithm mismatch phenomenon is improved, the vast majority of mismatches eliminated by displacement threshold method, improved SURF face matching accuracy.