| 基于二维Gabor小波和支持向量机的人脸识别 |
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| 引用本文： | 朱伟涛,刘士荣. 基于二维Gabor小波和支持向量机的人脸识别[J]. 杭州电子科技大学学报, 2009, 29(6) |
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| 作者姓名： | 朱伟涛 刘士荣 |
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| 作者单位： | 杭州电子科技大学自动化研究所,浙江,杭州,310018 |
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| 基金项目： | 国家自然科学基金资助项目，浙江省科技计划资助项目 |
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| 摘 要： | 针对人脸识别中的高维、小样本问题,提出了一种基于二维Gabor小波和支持向量机的人脸识别方法。首先对人脸图像进行多分辨率的Gabor滤波,对得到的人脸Gabor特征向量空间进行均匀下采样来降低特征空间维数,然后用主成分分析方法来进一步降低人脸Gabor特征向量空间的维数。接着把得到的人脸Gabor特征向量作为支持向量机的输入进行训练获得人脸分类器。通过对ORL和Yale两个人脸库的试验,表明该方法具有识别率高和鲁棒性强的特点。
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| 关 键 词： | 人脸识别 小波特征 主成分分析 支持向量机 |
Face Recognition with Two Dimensional Gabor Wavelets and Support Vector Machine |
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| ZHU Wei-tao,LIU Shi-rong. Face Recognition with Two Dimensional Gabor Wavelets and Support Vector Machine[J]. Journal of Hangzhou Dianzi University, 2009, 29(6) |
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| Authors: | ZHU Wei-tao LIU Shi-rong |
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| Affiliation: | ZHU Wei-tao; LIU Shi-rong(Institute of Automation; Hangzhou Dianzi University Hangzhou Zhejiang 310018; China); |
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| Abstract: | A method based on two-dimensional Gabor wavelets and support vector machine is presented to cope with small training sets of high dimension problem which is encountered in human face recognition field.Human face images are processed firstly by Gabor filters to get Gabor features space,and the space is downsampled to reduce the dimensionality.Principal component analysis is also employed to reduce the dimensionality of the Gabor features space significantly.After that,choosing the Gabor features vector as th... |
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| Keywords: | face recognition Gabor wavelets feature principal component analysis support vector machine |
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