计算机工程2011，Vol.37Issue(17)：163-166,4.
基于Log-Gabor统计采样的人脸识别方法
Face Recognition MethodBased on Log-Gabor Statistical Sampling
摘要
Abstract
Aiming at shortcomings of 2D-Gabor filters and down-sampling of traditional methods, a new method is proposed using statistical sampling of Log-Gabor Features and Support Vector Machine(SVM) for face recognition. A bank of Log-Gabor filters is applied on images to extract features. The statistical sampling and Principal Component Analysis(PCA) are used successively in order to reduce dimensions. SVM is employed for classification. Experimental results based on the ORL and FERET face database show that the novel method achieves high efficiency and strong robustness.关键词
人脸识别/Log-Gabor滤波器/特征提取/主成分分析/支持向量机Key words
face recognition/ Log-Gabor filter/ feature extraction/ Principal Component Analysis(PCA)/ Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
陈巍,李天瑞,龚勋..基于Log-Gabor统计采样的人脸识别方法[J].计算机工程,2011,37(17):163-166,4.基金项目
国家自然科学基金资助项目(60873108) （60873108）
