计算机与数字工程2019，Vol.47Issue(5)：1032-1036,1135,6.DOI:10.3969/j.issn.1672-9722.2019.05.004
基于深度学习的局部方向人脸识别算法研究
Research on Local Directional Face Recognition Algorithm Based on Deep Learning
摘要
Abstract
The paper proposes a local directional face recognition algorithm based on deep learning for feature selection in face recognition and the limitation of single algorithm. Firstly,the local sensitive area of the face is selected by positioning and seg?mentation. Then the LDP algorithm's good local feature extraction capability is used to perform feature extraction on the featured block region and finally connect it into a new feature face. Then a layer-by-layer greedy training is performed by using the deep learning network DBN to obtain good network parameters,and finally the trained network is used to test samples for face classifica?tion. Experiments are performed on ORL and MIT-CBCL face databases in sequence. The experimental results show that the pro?posed algorithm has a higher recognition rate than the traditional single or fusion algorithm and has good local performance and an?ti-interference performance.关键词
局部方向模式/局部敏感/深度学习/特征选择/人脸识别Key words
local directional pattern/local sensitive/deep learning/feature selection/face recognition分类
信息技术与安全科学引用本文复制引用
公维军,吴建军,李晓霞,李晓旭..基于深度学习的局部方向人脸识别算法研究[J].计算机与数字工程,2019,47(5):1032-1036,1135,6.基金项目
国家自然科学基金项目(编号:61563030) （编号:61563030）
河西学院青年教师科研基金项目(编号:QN2017014)资助. （编号:QN2017014）
