[1]王帆,赵春晖,张志.基于克隆选择算法的人脸特征选择[J].应用科技,2009,36(03):11-14.
 WANG Fan,ZHAO Chun-hui,ZHANG Zh.Feature selection of face recognition based on genetic algorithm[J].Applied science and technology,2009,36(03):11-14.
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基于克隆选择算法的人脸特征选择
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第36卷
期数:
2009年03期
页码:
11-14
栏目:
现代电子技术
出版日期:
2009-03-05

文章信息/Info

Title:
Feature selection of face recognition based on genetic algorithm
文章编号:
1009-671X(2009)03-0011-04
作者:
王帆赵春晖张志
哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001
Author(s):
WANG Fan ZHAO Chun-hui ZHANG Zh
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
关键词:
人脸识别主成份分析克隆选择算法遗传算法特征选择
Keywords:
face recognition principal component analysis genetic algorithm feature selection
分类号:
TP391
文献标志码:
A
摘要:
针对经典PCA算法在人脸特征提取上的局限性,提出了一种基于克隆选择算法的特征选择方法.克隆选择算法的收敛速度快,具有较强的全局搜索能力,可以快速搜索到最有利于分类的特征空间;因此利用克隆选择算法对PCA变换后的特征向量进行选择,可以有效避免PCA只选择人脸轮廓信息,而忽略细节信息的不足,在人脸识别中取得了较好的效果.通过对ORL和Yale人脸库的仿真实验表明,该方法无论在识别率、降维效果还是稳定性方面,性能均优于遗传算法,不但有效降低了特征向量维数,还将人脸识别率提高到91.5%,因此研究该算法具有很强的现实意义.
Abstract:
Limitations of classic PCA algorithm in the face feature extraction were illustrated, and a new feature selection method based on colonial selection algorithm was proposed. Colonial selection algorithm enjoys fast convergence and strong global searching capability. It can quickly find out character space that is most beneficial to classification, so colonial selection algorithm is used in feature vector selection after the transformation of PCA, so as to effectively avoid choosing only the outline of face and neglecting the details. Simulation experiments on ORL and Yale face database show that in terms of the recognition rate, the effect of reduced dimension and stability, this new method is superior to genetic algorithm. Therefore, the study of this method is of practical significance .

参考文献/References:

[1]ZIO,BARALDI E,PEDRONI P. Selecting features for nuclear transients classification by means of genetic algorithms[J]. IEEE Transactions on Nuclear Science,2006,53(3):1479-1493.
[2]张向荣,焦李成. 基于免疫克隆选择算法的特征选择[J]. 复旦学报,2004,43(5):927-929.
[3]苑玮琦,于清澄. 一种基于改进主成分分析的人脸识别方法[J]. 激光与红外, 2007,37(5):478-480.
[4]王煦法. 遗传算法及其应用[J]. 小型微型计算机系统, 1995, 6(2):124-129.
[5]韦振中,黄廷磊. 基于支持向量机和遗传算法的特征选择[J]. 广西工学院学报, 2006,17(2):18-21.

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备注/Memo

备注/Memo:
基金项目:国家自然科学基金资助项目(60672034).
作者简介:王帆(1984-)硕士研究生,主要研究方向:智能信息与图像处理,E-mail:5wangfan@163.com.
更新日期/Last Update: 2009-03-19