计算机工程与应用Issue(8)：158-160,187,4.DOI:10.3778/j.issn.1002-8331.1205-0120
基于小波包融合与矩阵主成分分析的人脸识别
Face recognition based on wavelet packet fusion and 2DPCA
摘要
Abstract
An improved method based on wavelet packets fusion and 2DPCA is proposed. Firstly, the original face image is decomposed by wavelet packets at two levels, and four most conducive high-frequency sub-images are selected and fused to improve the performance of classification. Then, 2DPCA is carried out in high-frequency and low-frequency sub-graphs separately. Finally, the decision level fusion is used to get the recognition result. Experimental results show that the proposed method is effective to face recognition with Yale and JAFFE databases.关键词
人脸识别/矩阵主成分分析/小波包Key words
face recognition/2-Dimensional Principal Component Analysis(2DPCA)/wavelet packets分类
信息技术与安全科学引用本文复制引用
郭志强,陈元春,刘岚..基于小波包融合与矩阵主成分分析的人脸识别[J].计算机工程与应用,2014,(8):158-160,187,4.基金项目
国家自然科学基金（No.61170090）；中央高校基本科研业务费专项资金（No.2011-IV-058）。 （）
