基于Gabor定向模式的人脸识别方法.pdf

166 2015,51(10) Computer Engineering and Applications 计算机工程与应用
基于 Gabor 定向模式的人脸识别方法
闫海停,王玲,李昆明,刘机福
YAN Haiting, WANG Ling, LI Kunming, LIU Jifu
湖南大学电气与信息工程学院,长沙 410082
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
YAN Haiting, WANG Ling, LI Kunming, et al. Face recognition based on Gabor Directional Pattern. Computer
Engineering and Applications, 2015, 51(10):166-169.
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.
Key words:face recognition; Ga