计算机工程与应用Issue(10)：166-169,4.DOI:10.3778/j.issn.1002-8331.1306-0031
基于Gabor定向模式的人脸识别方法
. Face recognition based on Gabor Directional Pattern
闫海停 1王玲 1李昆明 1刘机福1
作者信息
- 1. 湖南大学 电气与信息工程学院，长沙 410082
- 折叠
摘要
Abstract
In order to extract more effective classification features from the Gabor filtered maps, a novel face recognition method based on GDP(Gabor Directional Pattern)is proposed. Firstly, multi-scale and multi-orientation Gabor filters are used to extract their corresponding Gabor magnitude maps. Then, a novel operator named GDP is proposed, which converts the Gabor transformed images into several GDP maps by encoding all the Gabor magnitude maps with the same scale. Finally the spatial histograms of all the GDP maps are concatenated together to represent the facial appearances. The extracted GDP feature not only has good robustness but also has low dimensionality. Experimental results on the ORL and CAS-PEAL databases show that the performance of proposed method is superior to other Gabor based methods such as LGBP(Local Gabor Binary Pattern)and LGXP(Local Gabor XOR Pattern)with a significantly lower feature dimension.关键词
人脸识别/Gabor滤波/Gabor定向模式/特征提取Key words
face recognition/Gabor filter/Gabor Directional Pattern(GDP)/feature extraction分类
信息技术与安全科学引用本文复制引用
闫海停,王玲,李昆明,刘机福..基于Gabor定向模式的人脸识别方法[J].计算机工程与应用,2015,(10):166-169,4.
