计算机应用与软件Issue(9)：166-169,234,5.DOI:10.3969/j.issn.1000-386x.2015.09.040
基于改进局部方向模式特征的人脸识别算法
FACE RECOGNITION ALGORITHM BASED ON IMPROVING LOCAL DIRECTIONAL PATTERN FEATURES
摘要
Abstract
In order to improve face recognition rate and efficiency,we proposed a novel face recognition algorithm which improves the fea-tures of local directional pattern.First,the algorithm divides the face image into non-overlapping sub-blocks,and extracts the feature of each block by improving local direction mode algorithm,and then connects the features of all sub-blocks to form feature vectors of face image,fi-nally,it uses least square support vector machine to recognise the face image.Simulation experiment is carried out on various face databases, results show that the proposed algorithm achieves higher face recognition rate than traditional algorithms,and speeds up the operation time as well,it well meets the real-time requirement of face recognition.关键词
人脸识别/局部方向模式/特征提取/最小二乘支持向机Key words
Face recognition/Local directional pattern/Features extraction/Least square support vector machine分类
信息技术与安全科学引用本文复制引用
樊利军,魏昊,田柏林..基于改进局部方向模式特征的人脸识别算法[J].计算机应用与软件,2015,(9):166-169,234,5.基金项目
北京市属高等学校创新平台（PXM2014＿014225＿000020）。 （）
