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System for recognizing disguised face using gabor feature and SVM classifier and method thereof

机译:利用gabor特征和svm分类器的变相人脸识别系统及其方法

摘要

Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention.;The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.
机译:公开了根据本发明的使用Gabor特征和支持向量机(SVM)分类器来识别伪装的面部的系统和方法。用于识别伪装的面部的系统包括:用于生成单一标准的图生成装置。来自多个面部图像样本的面部图;支持向量机(SVM)学习装置,用于确定用于从所述多个面部图像样本和所述伪装的面部图像样本中识别出伪装面部的最佳分类平面;面部识别装置,当输入要识别的面部图像时,使用标准面部图和最佳分类平面来确定输入的面部图像是否被伪装。

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