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基于增强Gabor特征和直接分步线性判别分析的人脸识别

, PP. 477-482

Keywords: 人脸识别,特征选择,Gabor特征,直接分步线性判别分析

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Abstract:

Gabor特征能从不同方向和尺度有效表示人脸图片的局部特征,但是利用传统Gabor特征的方法却忽略原始人脸图片所包含的全局特征。文中把Gabor特征和原始图片信息结合起来,构成增强的Gabor特征,并结合直接分步线性判别分析算法,提出一种人脸识别方法。在Yale、ORL和GeorgiaTech人脸库的仿真实验结果表明,相对于传统Gabor特征,增强Gabor特征能够有效提高人脸识别率。

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