计算机应用研究2011，Vol.28Issue(10)：3974-3976,3.DOI:10.3969/j.issn.1001-3695.2011.10.103
基于Gabor纹理特征的人脸识别方法木
Face recognition with Gabor texture features
摘要
Abstract
To reduce the dimensionality of the Gabor features, this paper presented a novel approach called GMTR for face recognition. Characterized GMTR by using ΓD to model the Gabor magnitude distribution. The estimated model parameters served as texture representation. Experimental results performed on FERET and Yale databases show that GMTR is superior to traditional Gabor features in terms of recognition accuracy, which demonstrates the Gabor texture features have more discriminative power.关键词
人脸识别/Gabor幅值/纹理表征/伽玛分布/维数Key words
face recognition/ Gabor magnitude/ texture representation/ Gamma density/ dimensionality分类
信息技术与安全科学引用本文复制引用
杨宏雨,余磊,王森..基于Gabor纹理特征的人脸识别方法木[J].计算机应用研究,2011,28(10):3974-3976,3.基金项目
重庆市教委科技基金资助项目(KJ100815) （KJ100815）
