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基于核主成分分析的虹膜识别方法
引用本文:常卫东,王正华,张颜华,刘完芳,鄢喜爱.基于核主成分分析的虹膜识别方法[J].空军工程大学学报,2007,8(5):74-77.
作者姓名:常卫东  王正华  张颜华  刘完芳  鄢喜爱
作者单位:国防科学技术大学计算机学院,国防科学技术大学计算机学院,中南大学信息科学与工程学院,湖南大学计算机与通讯学院,湖南公安高等专科学校 长沙410073,湖南公安高等专科学校,长沙410138,长沙410073,长沙410083,湖南公安高等专科学校,长沙410138,410083,湖南公安高等专科学校,长沙410138,长沙410138
基金项目:国家自然科学基金;公安部应用创新计划;湖南省公安厅科研基金
摘    要:提出了一种新的虹膜识别方法,利用核主成分分析(KPCA)提取虹膜的纹理特征,采用竞争学习机制进行识别。实验结果证明采用该方法的虹膜识别系统识别率高、环境适应性强、运行时间短,在虹膜识别中具有良好的应用价值。

关 键 词:虹膜识别  核主成分分析  竞争学习
文章编号:1009-3516(2007)05-0074-04
修稿时间:2006-12-29

An Algorithm for Recognizing Irises Based on Kernel Principle Component Analysis
CHANG Wei-dong,WANG Zheng-hu,LIU Wan-fang,YAN Xi-ai,ZHANG Yan-hua.An Algorithm for Recognizing Irises Based on Kernel Principle Component Analysis[J].Journal of Air Force Engineering University(Natural Science Edition),2007,8(5):74-77.
Authors:CHANG Wei-dong  WANG Zheng-hu  LIU Wan-fang  YAN Xi-ai  ZHANG Yan-hua
Institution:1. Institute of Computer Science, National Defense University of Technology, Changsha 410073 ,China; 2. College of Information Science and Engineering, Central South University, Changsha 410083, China; 3. College of Computer and Communication, Hunan University, Changsha 410083,China; 4. Department of Computer Science, Hunan Public Security College, Changsha 410138, China
Abstract:As an important member in biometrics technology,iris recognition can be performed widely in the application future and has a wide market development future,particularly in the security for certain place or resources.In this paper,a new algorithm for recognizing irises is proposed,which utilizes Kernel principle component analysis(KPCA) to extract iris texture feature and adopts competitive learning mechanism to recognize.Experiment results show that the algorithm is efficient and adaptable to environment.Therefore,it is of significant value in application.
Keywords:iris recognition  Kernel principle component analysis  competitive learning
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