Face recognition based on space support vector domain classifier

doi:10.3778/j.issn.1002-8331.2011.02.053

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (2): 176-178.DOI: 10.3778/j.issn.1002-8331.2011.02.053

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

Face recognition based on space support vector domain classifier

YANG Dingli¹，YAN Shi¹，YANG Yinxian^1，2

1.Department of Electronic Information Engineering，Huaiyin Institute of Technology，Huai’an，Jiangsu 223003，China
2.School of Information Science and Engineering，Southeast University，Nanjing 210096，China

Received:2009-04-27 Revised:2009-06-17 Online:2011-01-11 Published:2011-01-11
Contact: YANG Dingli

基于空间支持向量域分类器的人脸识别

杨定礼¹，严石¹，杨银贤^1，2

1.淮阴工学院电子信息工程系，江苏淮安 223003
2.东南大学信息科学与工程学院，南京 210096

通讯作者: 杨定礼

Abstract

Abstract: A new approach for face recognition based on wavelet，singular value decomposition and Space Support Vector Domain Classifier（SSVDC） is presented.SSVDC is applied to classify singular value feature vector of face image，and the distance from the test sample to each hyper sphere center is computed.The attribution is judged according to distance from the test sample to hyper sphere central.Experiment result on （Olivetti Research Laboratory，ORL） database demonstrates that recognition accuracy is 97.5％.

Key words: Space Support Vector Domain Classifier（SSVDC）, singular value decomposition, face recognition

摘要： 提出了一种基于小波变换、奇异值分解与空间支持向量域分类器相结合的人脸识别方法。在使用空间支持向量分类器对不同人脸图像的奇异特征向量进行分类时，计算所测样本到各个超球球心的距离，并根据其与超球半径的关系来判断其所归属。并在ORL人脸数据库中进行实验。实验表明提出的人脸识别方法识别精度可达97.5%。

关键词: 空间支持向量域分类器, 奇异值分解, 人脸识别

CLC Number:

TP391

YANG Dingli¹，YAN Shi¹，YANG Yinxian^1，2
. Face recognition based on space support vector domain classifier[J]. Computer Engineering and Applications, 2011, 47(2): 176-178.

杨定礼¹，严石¹，杨银贤^1，2. 基于空间支持向量域分类器的人脸识别[J]. 计算机工程与应用, 2011, 47(2): 176-178.

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Face recognition based on space support vector domain classifier

基于空间支持向量域分类器的人脸识别

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