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基于Curvelet的人脸识别
引用本文:张九龙,张志禹,屈小娥,黄 薇.基于Curvelet的人脸识别[J].计算机工程与应用,2007,43(27):199-200.
作者姓名:张九龙  张志禹  屈小娥  黄 薇
作者单位:[1]西安理工大学计算机科学与工程学院,西安710048 [2]西安理工大学自动化与信息工程学院,西安710048
摘    要:人脸的主要特征是曲线信息,提出了一种基于Curvelet变换的人脸识别算法。Curvelet变换在表达图像的曲线奇异性时,比小波变换和脊波变换能获得更稀疏的图像表示。在人脸识别中,用人脸的曲波系数来提取特征能更好地反映人脸的主要特征,文中使用支持向量机进行了识别。结果表明该方法比小波方法更有效。

关 键 词:曲波变换  人脸识别  支持向量机  小波变换
文章编号:1002-8331(2007)27-0199-02
修稿时间:2007-08-01

Face recognition based on Curvelet
ZHANG Jiu-long,ZHANG Zhi-yu,QU Xiao-e,HUANG Wei.Face recognition based on Curvelet[J].Computer Engineering and Applications,2007,43(27):199-200.
Authors:ZHANG Jiu-long  ZHANG Zhi-yu  QU Xiao-e  HUANG Wei
Affiliation:1.School of Computer Science and Engineering,Xi’an University of Technology,Xi’an 710048,China 2.School of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China
Abstract:A feature extraction method using Curvelet transform is presented for face recognition.Contrasting with wavelet transform,Curvelet transform directly takes edges as the basic representation elements and is anisotropic with strong direction.It is a multiesolution,band pass and directional function analysis method and is useful to represent the image edges and the curved singularities in images more efficiently.It yields a more sparse representation of the image than wavelet and ridgelet transform.In face recognition,the Curvelet coefficients can better represent the main features of the faces.The simulation shows that the pro- posed method is better than wavelet based method.
Keywords:Curvelet transform  face recognition  Support Vector Machine(SVM)  wavelet transform
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