电讯技术2016，Vol.56Issue(4)：365-371,7.DOI:10.3969/j.issn.1001-893x.2016.04.003
适用于彩色图像人脸识别的字典学习算法
A Dictionary Learning Algorithm for Color Face Recognition
摘要
Abstract
The existing sparse-representation-based face recognition algorithms usually transform the color face images into gray images. Although this procedure increases the recognition speed,it ignores the infor-mation of the different color channels and the correlation among them. In order to utilize the correlation a-mong different channels,based on the label consistent K-Singular Value Decomposition( LC-KSVD) algo-rithm,a new dictionary learning method for color face recognition is proposed. To improve the representing ability of each atom for color images,this algorithm concatenates R,G and B values into a single vector,and then introduces a new inner product into orthogonal matching pursuit( OMP) during sparse coding proce-dure. Experiments on different color face images datasets demonstrate that the proposed algorithm can a-chieve a higher recognition rate.关键词
彩色图像/人脸识别/稀疏表示/字典学习/稀疏编码Key words
color images/face recognition/sparse representation/dictionary learning/sparse coding分类
信息技术与安全科学引用本文复制引用
施静兰,常侃,张智勇,覃团发..适用于彩色图像人脸识别的字典学习算法[J].电讯技术,2016,56(4):365-371,7.基金项目
国家自然科学基金资助项目（61401108，61261023)；广西自然科学基金资助项目（2013GXNSFBA019272) Foundation ItemThe National Natural Science Foundation of China（No.61401108，61261023)；The Natural Science Foundation of Guangxi （2013GXNSFBA019272) （）
