• Opto-Electronic Engineering
  • Vol. 36, Issue 12, 103 (2009)
TANG Rong-nian1、2、*, WENG Shao-jie1, HAN Jiu-qiang2, and ZHANG Xin-man2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2009.12.020 Cite this Article
    TANG Rong-nian, WENG Shao-jie, HAN Jiu-qiang, ZHANG Xin-man. Suppressing Eyelash Interference Based on Morphological Operator[J]. Opto-Electronic Engineering, 2009, 36(12): 103 Copy Citation Text show less

    Abstract

    In order to improve the performance of eyelash interference suppressing algorithm in iris recognition method,a new algorithm based on Morphological operators was developed. Considering the eyelash as the fine nondirectional silt in the background of eye image,the suppression of eyelash interference can be taken as a process to fill up these fine slits by using dilation operator. Compared with Gaussian filter algorithm,the proposed algorithm can suppress more eyelash interference,and has better performance. The experiment results from the CASIA iris database show that the proposed method can reduce more 40% eyelash pixels than that of the Gaussian filter algorithm. Using the proposed method,the accuracy of the Daugman’s algorithm and Wildes’ algorithm,which are traditional iris location algorithm,are improved 1.7% and 2% respectively,and the location time are decreased by 27.9% and 24.2% respectively.
    TANG Rong-nian, WENG Shao-jie, HAN Jiu-qiang, ZHANG Xin-man. Suppressing Eyelash Interference Based on Morphological Operator[J]. Opto-Electronic Engineering, 2009, 36(12): 103
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