Journal of Jilin University(Engineering and Technology Edition) ›› 2018, Vol. 48 ›› Issue (5): 1606-1613.doi: 10.13229/j.cnki.jdxbgxb20170605

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LOG operator and adaptive optimization Gabor filtering for iris recognition

LIU Yuan-ning1,2, LIU Shuai1,3, ZHU Xiao-dong1,2, CHEN Yi-hao1,2, ZHENG Shao-ge1,2, SHEN Chun-zhuang1,2   

  1. 1.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012,China;
    2.College of Computer Science and Technology, Jilin University, Changchun 130012,China;
    3.College of Software, Jilin University, Changchun 130012,China
  • Received:2017-06-11 Online:2018-09-20 Published:2018-12-11

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Abstract: To suppress iris noise and improve algorithm versatility, it is proposed to use Laplacian of Gaussian (LOG) operator and adaptive optimization Gabor filtering in iris recognition. The LOG operator suppresses iris noise and 40 sets of Gabor filtering with different frequencies and directions extract iris features and transform the features into binary feature codes. The filtering parameters are adaptively optimized for different iris libraries using Mutation Particle Swarm Optimization (MPSO) algorithm. The iris category is determined by calculating the Hamming distance between irises. Compared with other Gabor filtering and machine learning algorithm, the proposed algorithm can effectively suppress iris noise interference and improve recognition accuracy. At the same time, this algorithm has higher versatility in recognition of various iris libraries.

Key words: computer application, iris recognition, Laplacian of Gaussian operator, adaptive optimization Gabor filtering, mutation particle swarm optimization

CLC Number: 

  • TP391
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