吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (1): 46-51.

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Using real Gabor transform in iris identification

XU Tao1, LIU Chang2, MING Xing3, HU Zhao-hui4   

  1. 1. College of Mechanical Science and Engineering, Jilin University, Changchun 130025, China;
    2. Department of Equipment, Quartermaster University of the PLA, Changchun 130062, China;
    3. College of Computer Science and Technology, Jilin University, Changchun 130025, China;
    4. Department of Information and Computing Science, Guangxi University of Technology, Liuzhou 545006, China
  • Received:2003-05-11 Online:2004-01-01

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Abstract: An approach of iris identification based on real Gabor transform (RGT) was proposed. The localization property in time-frequency domain of RGT was suitable for extracting features of iris texture. Based on the theory of linear algebra the dual window function of Gaussian function was computed. The RGT of the dual window function is employed to analysis the normalized iris texture. The mean and variance were computed and formed in array to represent the features of iris texture. This algorithm was completed by real computation. A significant computation effort of RGT can be saved. The experiment results and data analysis are given to illnstrate the effectiveness of the prent mothod.

Key words: Iris inentification, real Gabor transform, dual window, weighted Euclidean distance

CLC Number: 

  • TP391
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