| 仿生算法与主成分分析相融合的人脸识别方法 |
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| 引用本文： | 张祥德,张大为,唐青松,陆小军.仿生算法与主成分分析相融合的人脸识别方法[J].东北大学学报(自然科学版),2009,30(7). |
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| 作者姓名： | 张祥德 张大为 唐青松 陆小军 |
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| 作者单位： | 东北大学,理学院,辽宁,沈阳,110004 |
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| 摘 要： | 基于人脸特征提取问题可以转化为组合优化问题这一思路,提出了仿生算法与主成分分析相融合的人脸识别算法.该方法先通过主成分分析方法得到人脸特征子空间;然后在已有特征的基础上,分别通过遗传算法与离散粒子群算法进一步提取出可使识别正确率达到最高的人脸图像特征.在ORL人脸库上的实验结果表明:与传统的主成分分析相比,该方法不仅能进一步降低特征子空间的维数,从而提高识别速度,而且能获得更高的识别率.
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| 关 键 词： | 遗传算法 粒子群优化算法 主成分分析 人脸识别 |
Face Recognition Algorithm Integrating Bionic Algorithm with Principal Component Analysis |
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| ZHANG Xiang-de,ZHANG Da-wei,TANG Qing-song,LU Xiao-jun.Face Recognition Algorithm Integrating Bionic Algorithm with Principal Component Analysis[J].Journal of Northeastern University(Natural Science),2009,30(7). |
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| Authors: | ZHANG Xiang-de ZHANG Da-wei TANG Qing-song LU Xiao-jun |
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| Institution: | ZHANG Xiang-de,ZHANG Da-wei,TANG Qing-song,LU Xiao-jun(School of Sciences,Northeastern University,Shenyang 110004,China.) |
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| Abstract: | Considering that the face feature extraction problem can be transformed into a combinatorial optimization one,a new face recognition algorithm is proposed to integrate the bionic algorithm with principal comment analysis.In the new method,the feature subspace of face pictures is obtained through conventional principle component analysis.Then,the most accurate recognition is given from the subspace by use of the genetic algorithm and binary particle swarm algorithm separately.The experimental results based o... |
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| Keywords: | genetic algorithm PSO(particle swarm optimization) principal component analysis face recognition |
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