Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components extracted.
该方法首先利用核主元分析对人脸图像进行特征提取,然后依据支持向量机与最近邻准则对所提取的核主元特征进行分类识别。
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