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《Computer Engineering and Applications》 2014-16
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Iris recognition algorithm based on improved canonical correlation analysis

FENG Yingying;YU Shigan;LIU Hui;College of Information Engineering in Fuyang Teachers College;  
Canonical Correlation Analysis(CCA)can not better portray the local changes in the iris image, a novel iris recognition method is proposed based on improved CCA algorithm in this paper. Firstly, the correlation between global features and local features are integrated to form the recognition features, the redundant information between the features is eliminated and the global information and local information is integrated effectively at the same time, the performance of ICCA is tested by CASIA datasets. The result show that ICCA's recognition accuracy is significantly better than the reference model.
【Fund】: 安徽省高等学校省级自然科学研究项目(No.KJ2012B138 No.KJ2013B206 No.KJ2013B207);; 安徽省高等学校省级教学研究项目(No.20101985)
【CateGory Index】: TP391.41
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Chinese Journal Full-text Database 4 Hits
1 LI Huan-li1,2,GUO LI-hong1,CHEN Tao1,YANG Li-mei3,WANG Xin-zui4 (1.Changchun Institute of Optics,Fine Mechanics and Physics, Chinese Academy of Sciences,Changchun 130033,China; 2.University of Chinese Academy of Sciences,Beijing 100039,China; 3.Changchun University of Technology,Changchun 130012,China; 4.Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences,Suzhou 215163,China);Iris recognition based on PCHIP-LMD[J];Optics and Precision Engineering;2013-01
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