计算机技术与发展2019，Vol.29Issue(3)：47-50,4.DOI:10.3969/j.issn.1673-629X.2019.03.009
基于Gabor小波和LBPH的实时人脸识别系统
Real-time Face Recognition System Based on Gabor Wavelet and LBPH
摘要
Abstract
Aiming at the limitations of illumination sensitivity and poor robustness for current popular face recognition algorithm, in order to improve the recognition efficiency, we propose a real-time face recognition algorithm based on Gabor wavelet and LBPH algorithm. We first fuse the face feature image obtained by convolution of the face image with the Gabor kernel and concatenate it in the face feature space, and then use LBPH to extract the facial feature of the space and achieve the classification by matching the similarity of the LBPH histogram sequence. Moreover, a real-time face recognition system is established based on ARM platform. As the system uses the MySQL database to manage face data, dynamic management can be achieved. The system achieves 92％ recognition rate in self built single face database. Compared with traditional algorithm, it has higher recognition rate and stronger real-time performance.关键词
Gabor/LBPH/ARM/MySQL/人脸识别Key words
Gabor/LBPH/ARM/MySQL/face recognition分类
信息技术与安全科学引用本文复制引用
张伟,程刚,何刚,阎石..基于Gabor小波和LBPH的实时人脸识别系统[J].计算机技术与发展,2019,29(3):47-50,4.基金项目
教育部赛尔网络下一代互联网技术创新项目(NGII20170602) （NGII20170602）
高速电子系统与电磁兼容研究教育部重点实验室主任基金(2017001) （2017001）
中央高校基本科研业务费专项资金资助项目(lzujbky-2018-128) （lzujbky-2018-128）
