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基于免疫算法和层次支持向量机的人脸识别方法

Method of face recognition based on immune algorithm and hierarchical support vector machines
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摘要 给出了一种基于免疫算法及层次支持向量机的人脸识别方法,该方法先利用Gabor小波变换提取待识别的人脸图像的特征向量,然后利用层次支持向量机初步判断该图像最可能所属的人,最后利用免疫算法对待识别的人脸图像进行确认。实验表明,该算法效果较佳。 A method of face recognition based on immune algorithm and hierarchical support vector machines is presented. The feature vector of face image is extracted by using Gabor wavelet transformation firstly, person the image mostly belongs to is judged by using hierarchical support vector machines. Finally, the face image is confirmed using immune algorithm. The experiment shows that the effect is better.
出处 《计算机工程与设计》 CSCD 北大核心 2006年第8期1349-1351,共3页 Computer Engineering and Design
基金 湖南省自然科学基金项目(03JJY3101) 湖南省教育厅科研基金项目(04C076)
关键词 免疫算法 层次支持向量机 GABOR小波变换 immune algorithm hierarchical support vector machines Gabor wavelet transformation
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参考文献17

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