An accurate and fast iris location method based on the features of human eyes

  • Authors:

  • Weiqi Yuan;Lu Xu;Zhonghua Lin

  • Affiliations:

  • Computer Vision Group, Shenyang University of Technology, Shenyang, China;Computer Vision Group, Shenyang University of Technology, Shenyang, China;Computer Vision Group, Shenyang University of Technology, Shenyang, China

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
  • Year:
  • 2005

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Abstract

In this paper, we proposed an accurate and fast iris location method based on the features of human eyes. Firstly, according to the gray features of pupil, find a point inside the pupil using a gray value summing operator. Next, starting from this point, find three points on the iris inner boundary using a boundary detection template designed by ourselves, and then calculate the circle parameters of iris inner boundary according to the principle that three points which are not on the same line can define a circle. Finally, find other three points on the iris outer boundary utilizing the similar method and obtain the circle parameters. A large number of experiments on the CASIA iris image database demonstrated that the location results of proposed method are more accurate than any other classical methods, such as Daugman's algorithm and Hough transforms, and the location speed is very fast.