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An Accurate and Fast Iris Location Method Based on the Features of Human Eyes

  • Weiqi Yuan
  • Lu Xu
  • Zhonghua Lin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3614)

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.

Keywords

Boundary Point Outer Boundary Iris Image Biometric Identification Iris Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Weiqi Yuan
    • 1
  • Lu Xu
    • 1
  • Zhonghua Lin
    • 1
  1. 1.Computer Vision GroupShenyang University of TechnologyShenyangChina

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