Face recognition based on support vector machines

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (15): 182-184.

• 图形、图像、模式识别 • Previous Articles Next Articles

Face recognition based on support vector machines

ZENG Yang-yan^1,2,YE Bo-long²

1.Hunan Business College，Changsha 410205，China
2.School of Software，Hunan University，Changsha 410082，China

Received:2007-08-29 Revised:2007-11-23 Online:2008-05-21 Published:2008-05-21
Contact: ZENG Yang-yan

基于支持向量机的人脸识别系统的研究

曾阳艳^1,2,叶柏龙²

1.湖南商学院，长沙 410205
2.湖南大学软件学院，长沙 410082

通讯作者: 曾阳艳

Abstract

Abstract: At first，this paper make use of PCA to extract the feature information of images，then make the feature data to be the input information of classifier.The classifier is used so called “similar to” to construct a number of SVM，in order to improve recognition accuracy rate，added a neural network training device.The recognition experiment result show a good performance in ORL face database.

Key words: face recogniton, PCA, SVM, neural network

摘要： 首先利用PCA进行人脸图像特征提取，然后将此特征数据作为分类器的输入数据。采用的分类器是利用所谓“相似性”方法构造的多个二类SVM分类器，为了提高识别正确率，在多个SVM的输出之后又增加了一级神经网络训练器。以ORL人脸库做的实验中得到了很好的识别效果。

关键词: 人脸识别, PCA, SVM, 神经网络

ZENG Yang-yan^1,2,YE Bo-long². Face recognition based on support vector machines[J]. Computer Engineering and Applications, 2008, 44(15): 182-184.

曾阳艳^1,2,叶柏龙². 基于支持向量机的人脸识别系统的研究[J]. 计算机工程与应用, 2008, 44(15): 182-184.

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Face recognition based on support vector machines

基于支持向量机的人脸识别系统的研究

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