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《Journal of Optoelectronics·Laser》 2018-06
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A multi-granularity iris recognition algorithm based on extreme learning machine

WANG Juan;WU Xian-xiang;YE Su-hua;School of Technology and Engineering,Xi′an Fanyi University;Institute of Intelligent Control and Image Engineering,School of Aerospace Science and Technology,Xidian University;  
The Gabor filter can capture the low and intermediate frequency texture information accurately,and the gray level co-occurrence matrix(GLCM)has a better ability to obtain the high frequency texture information.In order to avoid the defect of the single feature extraction method,a multi-granularity extraction method based on 2 D-Gabor filters and GLCM is proposed to generate a multi-feature vector.The recognition process uses the extreme learning machine(ELM).Experimental results show that the proposed multi-granularity iris recognition algorithm based on ELM has a higher accuracy of 99.86%under the premise of real-time performance.It outperforms other mainstream iris recognition algorithms.
【Fund】: 陕西省教育厅科研计划(17JK0989);; 国家自然科学基金(61105066 61671356 61704127 61571346 61601352);; 中央高校基本科研业务费专项资金(JB141305)资助项目
【CateGory Index】: TP181;TP391.41
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