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《Opto-Electronic Engineering》 2010-10
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Iris Recognition Based on Regional Grayscale Change

ZHOU Xiao,SHEN Jian-xin,LIAO Wen-he,YE Yong-qiang ( College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China )  
In order to improve the accuracy and the identification speed of iris recognition, an iris recognition method is presented based on regional grayscale changes. Firstly,the normalized iris images are obtained by preprocessing eye images. Then, images are smoothed by an elliptical 2D-Gaussian filter which is constructed adaptive to the differences of iris characteristic scales, and code them by ordinal measure for regional grayscale changes between two sampling points. Finally, the Hamming distance is calculated between two iris codes and the recognition result is obtained according to that.Experimented on Bath and CASIA iris database, the proposed method has decreased the equal error rate to 0.05% and 0.69%. The results demonstrate that the proposed method has a high accuracy and fast identification speed.
【Fund】: 教育部“新世纪优秀人才支持计划”项目(NCET-06-0502);; 江苏省“333工程”项目(2007-16-59)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 YUAN Wei-qi,LIU Wang-lan,KE Li ( Computer Vision Group, Shenyang University of Technology, Shenyang 110023, China );Parameter Selection of Gabor Filter Used in Iris Recognition[J];Opto-Electronic Engineering;2008-08
2 YE Yong-qiang,SHEN Jian-xin,ZHOU Xiao ( College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China );Rapid Iris Location Method Based on Grayscale Features of Pupil Areas[J];Opto-Electronic Engineering;2010-03
【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 QI Chuan-qi1,BAO Hua2,3,YANG Han-sheng2,3,DAI Yun2 ( 1. Mechanics Department, Chengdu Aeronautic Vocational and Technical College, Chengdu 610021, China; 2. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China; 3. Graduate School of Chinese Academy of Sciences, Beijing 100039, China );Identification Recognition Based on High Resolution Retinal Capillary Vessel Image of Human Eye[J];Opto-Electronic Engineering;2009-09
2 YUAN Wei-qi,CHEN Lei,CHANG Le ( Computer Vision Group, Shenyang University of Technology, Shenyang 110870, China );Iris Matching Method Based on Segmentation Shifting[J];Opto-Electronic Engineering;2010-03
3 YE Yong-qiang,SHEN Jian-xin,ZHOU Xiao ( College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China );Rapid Iris Location Method Based on Grayscale Features of Pupil Areas[J];Opto-Electronic Engineering;2010-03
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Chinese Journal Full-text Database 10 Hits
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