Application of improved CPSO-SVM approach in face recognition

doi:10.3778/j.issn.1002-8331.2010.28.049

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (28): 175-177.DOI: 10.3778/j.issn.1002-8331.2010.28.049

• 图形、图像、模式识别 • Previous Articles Next Articles

Application of improved CPSO-SVM approach in face recognition

LI Ming¹，SUN Xiang-feng¹，XING Yu-juan²

1.School of Computer and Communication，Lanzhou University of Technology，Lanzhou 730050，China
2.School of Science and Engineering，Gansu Lianhe University，Lanzhou 730000，China

Received:2009-03-03 Revised:2009-05-11 Online:2010-10-01 Published:2010-10-01
Contact: LI Ming

改进CPSO-SVM在人脸识别中的应用

李明¹，孙向风¹，邢玉娟²

1.兰州理工大学计算机与通信学院，兰州 730050
2.甘肃联合大学理工学院，兰州 730000

通讯作者: 李明

Abstract

Abstract: To make the particles distribute in the problem search space evenly，and to improve the overall searching ability of the algorithm，an improved algorithm for Chaos Particle Swarm Optimization（CPSO） is proposed based on the analysis of the ergodicity of chaos and inertia weight of the PSO.The improved algorithm uses Circle map to produce a uniform distribution of the chaotic variable track points，and dynamic adjustment of inertia weight is implemented to avoid PSO getting into local optimum.Then a face recognition method using this improved algorithm to train Support Vector Machine（SVM） is presented.The experimental results show that the presented SVM method optimized by CPSO can achieve higher recognition performance.

Key words: Support Vector Machine（SVM）, Chaos Particle Swarm Optimization（CPSO）, inertia weight, face recognition

摘要： 为使粒子群优化算法初始粒子均匀分布在解空间，增强全局的搜索能力，通过对混沌运动的遍历性和粒子群优化算法中惯性权重的分析，提出了一种改进型混沌粒子群算法。该算法采用Circle映射，产生了分布均匀的混沌变量轨道点，并结合动态调整惯性权重的思想来避免粒子群算法陷入局部最优。同时，给出了应用混沌粒子群算法训练SVM的方法，并将其应用于人脸识别。仿真实验结果表明，改进CPSO-SVM方法比基本粒子群方法能获得更好的识别性能。

关键词: 支持向量机, 混沌粒子群算法, 惯性权重, 人脸识别

CLC Number:

TP391

LI Ming¹，SUN Xiang-feng¹，XING Yu-juan². Application of improved CPSO-SVM approach in face recognition[J]. Computer Engineering and Applications, 2010, 46(28): 175-177.

李明¹，孙向风¹，邢玉娟². 改进CPSO-SVM在人脸识别中的应用[J]. 计算机工程与应用, 2010, 46(28): 175-177.

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Application of improved CPSO-SVM approach in face recognition

改进CPSO-SVM在人脸识别中的应用

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