计算机工程与应用2016，Vol.52Issue(12)：201-204,4.DOI:10.3778/j.issn.1002-8331.1510-0190
基于小波变换和多特征融合算法的人脸识别
Face recognition method based on wavelet transform and multi-feature fusion algorithm
关学忠 1王文锋 1张新城 1尹廷武 1张璐1
作者信息
- 1. 东北石油大学 电气信息工程学院，黑龙江 大庆 163318
- 折叠
摘要
Abstract
A face recognition method based on wavelet transform and multi-feature fusion algorithm is proposed. Firstly the weight wavelet transform is used to the original face images for dimension reduction. Then the improved Modular 2 Dimensional Principal Component Analysis(M2DPCA) is applied to the images for feature extraction, and then the Weight Maximum Scatter Difference discriminate analysis(WMSD)is used to the sub-images of these obtained feature images in which way the final feature images are obtained. Finally, the nearest neighbor classifier can distinguish the different human face. This method can not only exploit local feature of face and discriminate information but also totally avoid the problem of singular value decomposition of matrix. Experiments performed on ORL face database verify the effectiveness of the proposed method.关键词
简单加权小波变换/模块二维主成分分析(M2DPCA)/加权最大散度差鉴别分析(WMSD)Key words
weight wavelet transform/Modular 2 Dimensional Principal Component Analysis(M2DPCA)/Weight Maxi-mum Scatter Difference discriminate analysis(WMSD)分类
信息技术与安全科学引用本文复制引用
关学忠,王文锋,张新城,尹廷武,张璐..基于小波变换和多特征融合算法的人脸识别[J].计算机工程与应用,2016,52(12):201-204,4.
