Study and Improvement of Iris Location Algorithm

  • Caitang Sun
  • Chunguang Zhou
  • Yanchun Liang
  • Xiangdong Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)


Iris location is a crucial step in iris recognition. Taking into consideration the fact that interior of the pupil, there would have some lighter spots because of reflection, this paper improves the commonly used coarse location method. It utilizes the gray scale histogram of the iris graphics, first computes the binary threshold, averaging the center of chords to coarsely estimate the center and radius of the pupil, and then finely locates it using the algorithm of circle detection in the binary graphic. This method could reduce the error of locating within the pupil. After that, this paper combines Canny edge detector and Hough voting mechanism to locate the outer boundary. Finally, a statistical method is exploited to exclude eyelash and eyelid areas. Experiments have shown the applicability and efficiency of this algorithm.


Iris Location Circle Detection Canny Edge Detection Hough Voting Mechanism 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Caitang Sun
    • 1
  • Chunguang Zhou
    • 1
  • Yanchun Liang
    • 1
  • Xiangdong Liu
    • 1
  1. 1.College of Computer Science and TechnologyJilin UniversityChangchunChina

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