吉林大学学报（理学版）2018，Vol.56Issue(2)：355-360,6.DOI:10.13413/j.cnki.jdxblxb.2018.02.28
基于判别分析与低秩投影的人脸识别算法
Face Recognition Algorithm Based on Discriminant Analysis and Low Rank Proj ection
摘要
Abstract
In view of the shortcomings of high error recognition rate and poor robustness of current face recognition algorithms,we designed a face recognition algorithm based on discriminant analysis and low rank proj ection to obtain better face recognition results.Firstly,the face images were divided into blocks,the local feature of each sub block was extracted,and the global feature of face was extracted by discriminant analysis.Secondly,we used low rank proj ection to make up a feature vector that contributed greatly to the face recognition results.Finally,the least squares support vector machine was used to establish multi classifier for light face recognition based on the principle of one-to-many,and the simulation experiment was carried out by multiple face database.The experimental results show that the algorithm can find the optimal feature subset of face recognition, reduce the error recognition rate of face,the speed of face recognition is obviously improved,and the effect of face recognition is better than other face recognition algorithms.关键词
人脸识别/特征选择/判别分析/人脸分类器/识别速度Key words
face recognition/feature selection/discriminant analysis/face classifier/speed of recognition分类
信息技术与安全科学引用本文复制引用
王银花,王丽萍,王忠良..基于判别分析与低秩投影的人脸识别算法[J].吉林大学学报（理学版）,2018,56(2):355-360,6.基金项目
安徽省高校自然科学研究重点项目(批准号:KJ2017A472). （批准号:KJ2017A472）
