计算机工程与应用2016，Vol.52Issue(14)：142-145,171,5.DOI:10.3778/j.issn.1002-8331.1409-0088
基于稀疏表示与小波特征的人脸识别分层框架
Hierarchical face recognition framework based on wavelet feature and sparse representation classification
摘要
Abstract
Few study has been performed on the nonlinear feature selection in the field of sparse representation face recog-nition. A hierarchical framework for sparse representation face recognition is proposed. First it constructs the face overcom-pleted dictionary of wavelet low frequency feature and high frequency feature. During the recognition, low frequency feature is used to sparse representation face recognition firstly, and then the category fuzzy coefficient is computed and decided to output the category tag or go on the high frequency sparse representation face recognition. The experimental results show that the face recognition hierarchical framework improves the accuracy of recognition and the framework is robust to face image occlusion.关键词
人脸识别/稀疏表示/分层框架/小波特征Key words
face recognition/sparse representation/hierachical framework/wavelet feature分类
计算机与自动化引用本文复制引用
翟素兰,曹庆,谢文浩..基于稀疏表示与小波特征的人脸识别分层框架[J].计算机工程与应用,2016,52(14):142-145,171,5.基金项目
安徽省高校省级优秀青年人才基金重点项目（No.2013SQRL005ZD）。 （）
