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基于支持向量机的人脸分类
引用本文:张敏贵,潘泉,张洪才,姜睿.基于支持向量机的人脸分类[J].计算机工程,2004,30(11):110-112.
作者姓名:张敏贵  潘泉  张洪才  姜睿
作者单位:西北工业大学自动控制系,西安,710072
摘    要:提出了一种基于支持向量机的人脸分类方法,首先对人脸图像作二维离散余弦变换,取离散余弦变换系数作为特征,然后用支持向量机进行分类。用Essex人脸图像数据库进行性别分类,取得了很好的分类效果。

关 键 词:人脸识别  支持向量机  离散余弦变换
文章编号:1000-3428(2004)11-0110-03

Face Classification Based on SVM
ZHANG Mingui,PAN Quan,ZHANG Hongcai,JIANG Rui.Face Classification Based on SVM[J].Computer Engineering,2004,30(11):110-112.
Authors:ZHANG Mingui  PAN Quan  ZHANG Hongcai  JIANG Rui
Abstract:A method for face classification based on support vector machine(SVM) has been proposed in this paper. Discrete cosine transform (DCT) is used to the face image, resulting in its DCT coefficients as feature. The feature is fed to SVM for classification. The Essex face image database is selected to evaluate the method of sex classification. The results show that the method gives higher accuracy.
Keywords:Face recognition  Support vector machine(SVM)  Discrete cosine transform
本文献已被 CNKI 维普 万方数据 等数据库收录!
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