Entrance Guard System Recognition Based on Face Block Feature Point Fusion
Qian Zhai, Xiaoling Tian, Zhihong Feng · 2021
In order to improve the efficiency of access control management system in core parts, a design method of access control system based on face block feature point fusion is proposed. The face acquisition module of the core part entrance guard management system is constructed, the collected face images are fused with the block area combined filtering detection method to realize the face feature point information, the face resolution feature quantity of the core part entrance guard management system is extracted, and the method of role positioning and face noise fuzzy area point enhancement is combined to realize the face block area feature point matching and ambiguity recognition in the process of the core part entrance guard management system. The face information distributed fusion model of the access control terminal in the core area is constructed, and the face recognition and optimization control in the process of the access control management system in the core area are realized by the method of ambiguity recognition and super-resolution information reconstruction, and the process optimization control of the access control management system in the core area is realized by the deep learning algorithm. The simulation results show that the design reliability of the access control management system for the core parts by using face recognition technology is good, the matching performance of face block feature points is good, and the face recognition accuracy of the access control management system is high.