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基于Gabor小波变换和支持向量机的人脸识别
引用本文:李云峰,欧宗瑛.基于Gabor小波变换和支持向量机的人脸识别[J].计算机工程,2006,32(19):181-182.
作者姓名:李云峰  欧宗瑛
作者单位:1. 大连理工大学精密与特种加工教育部重点实验室,大连,116023;河南科技大学机电工程学院,洛阳,471003
2. 大连理工大学精密与特种加工教育部重点实验室,大连,116023
摘    要:将Gabor小波变换和支持向量机分类方法结合起来进行人脸识别。通过由Gabor小波变换系数表示的若干个人脸模板和人脸图像之间的匹配来确定特征点的近似位置;在所有的特征点位置计算Gabor小波变换系数并将其串联成表示人脸图像的向量;采用一种层次分解的支持向量机二叉决策树进行分类识别。实验结果表明了该方法的可行性。

关 键 词:人脸识别  Gabor小波变换  支持向量机
文章编号:1000-3428(2006)19-0180-02
收稿时间:2005-12-27
修稿时间:2005-12-27

Face Recognition Based on Gabor Wavelet Transform and Support Vector Machines
LI Yunfeng,OU Zongying.Face Recognition Based on Gabor Wavelet Transform and Support Vector Machines[J].Computer Engineering,2006,32(19):181-182.
Authors:LI Yunfeng  OU Zongying
Affiliation:1. Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology Dalian 116023; 2. Electromechanical Engineering College, Henan University of Science and Technology, Luoyang 471003
Abstract:This paper combines the Gabor wavelet transform with support vector machines classification method for face recognition. Facial feature points are located roughly through the matching between certain face templates which are represented by Gabor wavelet transform coefficients and a face image. Gabor wavelet transform coefficients are extracted at every facial feature points and these coefficients are catenated into a vector to represent a face image. A hierarchical decomposed support vector machines binary decision tree is used for classification. Experimental results show the feasibility of the proposed face recognition method.
Keywords:Face recognition  Gabor wavelet transform  Support vector machines
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