| 一种基于小波变换和PCA的人脸识别改进方法 |
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| 引用本文： | 杨绍华.一种基于小波变换和PCA的人脸识别改进方法[J].吉林工程技术师范学院学报,2008,24(9):62-65. |
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| 作者姓名： | 杨绍华 |
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| 作者单位： | 宁夏大学,数学计算机学院,宁夏,银川,750021 |
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| 摘 要： | 针对主成分分析PCA算法中存在的问题,提出了利用小波变换对人脸图像进行预处理,PCA提取图像特征,最近邻法分类的人脸识别改进方法.基于ORL、YALE数据库的相关实验表明,这样的系统能够降低数据维数和克服角度、位移变化对算法的影响,能够取得比传统PCA更好的识别性能。
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| 关 键 词： | 人脸识别 小波变换 主成分分析 |
An Improved Face Recognition Method Based on Wavelet Transformation and PCA |
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| YANG Shao-hua.An Improved Face Recognition Method Based on Wavelet Transformation and PCA[J].Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition),2008,24(9):62-65. |
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| Authors: | YANG Shao-hua |
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| Institution: | YANG Shao-hua(Mathematics and Computer School,Ningxia University,Yinchuan Ningxia 750021,China) |
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| Abstract: | To solve the problems in PCA,this paper puts forward the improved face recognition method which uses wavelet transformation to preprocess human face image,PCA to extract the feature information of the images and the KNN is selected to make classifications.The experiment based on ORL-Database and YALE-Database shows that this system is able to reduce the dimension of the image data and overcome the influence of the change of angle and position,thus getting a better performance than traditional PCA methods. |
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| Keywords: | face recognition wavelet transformation PCA |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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