计算机工程与应用Issue(2)：175-178,197,5.DOI:10.3778/j.issn.1002-8331.1203-0532
改进的模块2DPCA与MSD结合的人脸识别
Combination of improved modular 2DPCA and maximum scatter difference dis-criminate analysis for face recognition
孔爱祥 1王成儒1
作者信息
- 1. 燕山大学 信息科学与工程学院，河北 秦皇岛 066004
- 折叠
摘要
Abstract
A method of combination of improved modular 2DPCA and Maximum Scatter Difference discriminate analysis (MSD)is proposed. The improved modular 2DPCA is applied to the original face images for feature extraction. Then MSD is used to the sub-images of these obtained feature images in which way the final feature images are obtained. This method can not only exploit local features of original image and discriminate information but also totally avoid the prob-lem of singular value decomposition of matrix. Experiments performed on ORL face database verify the effectiveness of the proposed method.关键词
模块二维主成分分析(2DPCA)/最大散度差鉴别分析/人脸识别Key words
modular 2 Dimensional Principal Component Analysis(2DPCA)/maximum scatter difference discriminate analysis/face recognition分类
信息技术与安全科学引用本文复制引用
孔爱祥,王成儒..改进的模块2DPCA与MSD结合的人脸识别[J].计算机工程与应用,2014,(2):175-178,197,5.
