| 基于小波近似分量非参数鉴别分析人脸识别算法 |
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| 引用本文： | 曹林,陈登熠.基于小波近似分量非参数鉴别分析人脸识别算法[J].北京机械工业学院学报,2011(3):20-23. |
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| 作者姓名： | 曹林 陈登熠 |
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| 作者单位： | 北京信息科技大学光电信息与通信工程学院; |
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| 基金项目： | 国家科技重大专项(2011ZX05039-004-02); 北京市教育委员会科技发展计划资助项目(KM200910772006) |
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| 摘 要： | 根据小波变换原理，采用dbl小波基函数，对人脸图像进行3级小波分解。将3层小波近似分量进行重组，得到新的样本向量集。由于非参数鉴别分析对非高斯分布样本集具有良好的适应性，提出了基于小波近似分量和非参数鉴别分析的人脸识别算法。在样本向量集上应用非参数鉴别分析，形成类内和类间矩阵，然后利用Fisher线性鉴别进行人脸识别。实验结果表明，在ORL和CAS-PEAL-R1人脸库上使用上述算法的识别率分别为95％和97．5％。
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| 关 键 词： | 人脸识别 小波近似分量 非参数鉴别分析 |
Face recognition algorithm based on the wavelet approximation coefficients and non-parametric discriminant analysis |
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| CAO Lin,CHEN Deng-yi.Face recognition algorithm based on the wavelet approximation coefficients and non-parametric discriminant analysis[J].Journal of Beijing Institute of Machinery,2011(3):20-23. |
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| Authors: | CAO Lin CHEN Deng-yi |
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| Affiliation: | CAO Lin,CHEN Deng-yi(School of Photoelectronic Information and Telecommunication Engineering,Beijing Information Science and Technology University,Beijing 100101,China) |
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| Abstract: | According to the wavelet transform theory,a face image is decomposed into the three-level wavelet coefficients by using the db1 wavelet function.Subsequently,a new sample vector is obtained by reshaping the three-level wavelet approximation coefficients.Because the non-parametric discriminant analysis has a good adaptability for the non-Gaussian distributed samples set,a face recognition algorithm based on the wavelet approximation coefficients and non-parametric discriminant analysis(WANDA)is presented in ... |
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| Keywords: | face recognition wavelet approximation coefficients non-parametric discriminant analysis |
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