液晶与显示Issue(6)：1016-1023,8.DOI:10.3788/YJYXS20153006.1016
基于子模式双向二维线性判别分析的人脸识别
Face recognition based on sub-pattern two-directional two-dimensional linear discriminant analysis
摘要
Abstract
To reduce the impacts of the variations of expression and illumination,a novel face recogni-tion method based on sub-pattern two-directional two-dimensional linear discriminant analysis (Sp-(2D)2 LDA)is presented in this paper.Firstly,Sp-(2D)2 LDA divides the original images into smaller sub-images and keeps the spatial relationship between the sub-images.Secondly,it simultaneously ap-plies 2DLDA to the subsets of the training samples in the row and column directions to extract local sub-features.Finally,the sub-features are synthesized into global features and nearest neighbor clas-sifier is used for classification.The experimental results on Yale and ORL face databases show that the proposed Sp-(2D)2 LDA method effectively reduce not only the dimension of the eigenvectors,but also the influence of variations in illumination and facial expression.Thus,the proposed method has better classification performances than the other related methods.关键词
人脸识别/特征抽取/双向二维线性判别分析/子模式双向二维线性判别分析Key words
face recognition/feature extraction/two-directional two-dimensional linear discriminant分类
信息技术与安全科学引用本文复制引用
董晓庆,陈洪财..基于子模式双向二维线性判别分析的人脸识别[J].液晶与显示,2015,(6):1016-1023,8.基金项目
广东省青年创新人才项目(No.2014QNCX194) （No.2014QNCX194）
广东省教改项目(No.GDJG20142402) （No.GDJG20142402）
潮州市科技计划引导项目(No.2014SF03) Supported by Project of Education Department of Guangdong(No.2014EQNCX194) （No.2014SF03）
2014 Teaching Re-form Project of Higher Education in Guangdong Province(No.GDJG20142402) （No.GDJG20142402）
Project of Chaozhou Sci-ence and Technology Bureau(No.2014SF03) （No.2014SF03）
