JISE


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Journal of Information Science and Engineering, Vol. 39 No. 4, pp. 839-854


Research on Network Information Security Management System Based on Face Recognition

YUN-LI CHENG1,*, HAI-NIE MENG2,+, YU-QIANG CHEN3,
YAN-XIAN TAN1,** AND JIAN-LAN GUO3
1Software Engineering Institute of Guangzhou
Guangdong, 510990 P.R. China
E-mail: {767220031*; 1040558213**}@qq.com
2Guangzhou Nanyang Polytechnic College
Guangzhou, Guangdong, 510925 P.R. China
+E-mail: 412131779@qq.com
3Dongguan Polytechnic, Dongguan, 523808 P.R. China

With the vigorous development of the new generation of information technology, the field of human identity recognition has been paid more and more attention. Compared with the traditional manual verification, face recognition has higher security. The current research in this field is still a blank, and it is also a hot research direction of current artificial intelligence. On the basis of Open CV4 open source computer vision library, this paper develops a security management system based on face recognition. The face recognition part is based on face pre-processing, face detection, and the face detection algorithm based on Ada Boost is used. The LBPHFACE (Local binary mode histogram face) based on LBP (Local Binary Pattern) is studied. This algorithm is used for face recognition. After real-time and accuracy tests, the real-time and accuracy meet the requirements.

Keywords: face recognition, data fusion, Ada boost face detection, LBPHFACE, information security

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