| 基于二进小波变换和仿生模式识别的人脸识别 |
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| 引用本文： | 陈 勇,王宪保. 基于二进小波变换和仿生模式识别的人脸识别[J]. 计算机工程与应用, 2013, 49(17): 186-189 |
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| 作者姓名： | 陈 勇 王宪保 |
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| 作者单位： | 1.宁波市委党校，浙江 宁波 3150102.浙江工业大学 信息工程学院，杭州 310014 |
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| 摘 要： | 针对人脸图像易受光线和表情影响的特点，提出了一种基于二进小波变换和仿生模式识别的人脸识别方法。应用样条二进小波对人脸图像进行处理，对得到的细节子图进行融合。在FFT和PCA处理与降维后，用仿生模式识别进行学习和识别。实验结果表明，该方法比传统方法具有更高的识别率。
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| 关 键 词： | 人脸识别 小波变换 仿生模式识别 |
Face recognition based on dyadic wavelet transform and biomimetic pattern recognition |
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| CHEN Yong,WANG Xianbao. Face recognition based on dyadic wavelet transform and biomimetic pattern recognition[J]. Computer Engineering and Applications, 2013, 49(17): 186-189 |
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| Authors: | CHEN Yong WANG Xianbao |
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| Affiliation: | 1.Ningbo Party Institute of CPC, Ningbo, Zhejiang 315010, China2.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China |
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| Abstract: | Aiming at robustness of face recognition under the condition of illumination perturbations and facial variety, a face recognition method based on dyadic wavelet transform and biomimetic pattern recognition is proposed in this paper. The spline dyadic wavelet is applied to face images. The detail subbands are merged by concatenation. The facial images are treated and reduced dimension respectively by FFT（Fast Fourier Transform） and PCA（Principal Component Analysis）. The feature vectors are learned and recognized by biomimetic pattern recognition. The experimental results prove that the correct recognition rate of the method in this paper is higher than traditional recognition method. |
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| Keywords: | face recognition wavelet transform biomimetic pattern recognition |
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