Research on Network Information Security Management System Based on Face Recognition

被引：0

作者：

Cheng, Yun-Li ^{[1
]}

Meng, Hai-Nie ^{[2
]}

Chen, Yu-Qiang ^{[3
]}

Tan, Y. an -Xian ^{[1
]}

Guo, Jian -Lan ^{[3
]}

机构：

[1] Software Engn Inst Guangdong, Guangzhou 510990, Guangdong, Peoples R China

[2] Guangzhou Nanyang Polytech Coll, Guangzhou 510925, Guangdong, Peoples R China

[3] Dongguan Polytech, Dongguan 523808, Peoples R China

来源：

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | 2023年 / 39卷 / 04期

关键词：

face recognition; data fusion; Ada boost face detection; LBPHFACE; infor-; mation security;

D O I：

10.6688/JISE.202307_39(4).0009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 realtime and accuracy tests, the real-time and accuracy meet the requirements.

引用

页码：839 / 854

页数：16

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