| 基于Gabor小波和二维主元分析的人脸识别 |
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| 引用本文： | 马晓燕,杨国胜,范秋凤,王应军.基于Gabor小波和二维主元分析的人脸识别[J].计算机工程与应用,2006,42(10):55-57. |
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| 作者姓名： | 马晓燕 杨国胜 范秋凤 王应军 |
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| 作者单位： | 河南大学计算机与信息工程学院,开封,475001 |
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| 基金项目： | 河南省科技厅科技攻关项目;河南省教委自然科学基金;河南省高校杰出科研创新人才工程项目 |
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| 摘 要： | 论文提出了一种基于Gabor小波和二维主元分析(2DPCA)的人脸识别方法。该方法首先对人脸图像进行Gabor小波变换,将小波变换的系数作为人脸图像的特征向量;然后,用2DPCA对所得的人脸图像特征进行降维,并采用最近邻法进行分类;最后,利用AT&T人脸库,对基于Gabor小波和二维主元分析(2DPCA)的人脸识别方法和基于Gabor小波和PCA的人脸识别方法进行了仿真比较实验。仿真实验表明,基于Gabor小波和2DPCA的人脸识别方法具有较好的识别性能。
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| 关 键 词： | Gabor小波 2DPCA 特征向量 人脸识别 |
| 文章编号： | 1002-8331-（2006）10-0055-03 |
| 收稿时间： | 2005-09-01 |
| 修稿时间： | 2005-09-01 |
Face Recognition Based on Gabor Wavelet and Two-Dimensional Principal Component Analysis |
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| Ma Xiaoyan,Yang Guosheng,Fan Qiufeng,Wang Yingjun.Face Recognition Based on Gabor Wavelet and Two-Dimensional Principal Component Analysis[J].Computer Engineering and Applications,2006,42(10):55-57. |
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| Authors: | Ma Xiaoyan Yang Guosheng Fan Qiufeng Wang Yingjun |
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| Abstract: | This paper presents a method of face recognition based on the Gabor wavelet and two-dimensional principal component analysis(2DPCA).First,the coefficients of Gabor wavelet transform deriving from a face image are taken as eigenvectors.And then 2DPCA is used to decrease the dimension of the eigenvector,and the nearest neighbor classifier is employed for face classification.Finally,by use of the AT&T face database,the comparison simulations are performed both on the method based on the Gabor wavelet and 2DPCA,and the one based on the Gabor wavelet and PCA.The simulation result shows that the former has the good recognition performance for the face image. |
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| Keywords: | 2DPCA |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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