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Circular shortest path as a method of detection and refinement of iris borders in eye image

  • Pattern Recognition and Image Processing
  • Published:
Journal of Computer and Systems Sciences International Aims and scope

Abstract

Circular shortest path detection method is tried for locating pupil and iris boundaries in eye image. Two types of its application are tested: detecting pupil and iris boundaries using given approximate eye center point and refining pupil boundaries using given approximate pupil circle. Brightness gradient direction was used to choose image pixels, which may belong to pupil or iris boundary. The method seems to have worse performance in the detection task compared to other known approaches doing the same, but appears to be useful in the refinement task. The method was tested with public domain iris databases, totally with more than 80000 images for the first type of application and with more than 16000 images for the second type.

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Authors and Affiliations

  1. Computing Centre of Russian Academy of Sciences, Moscow, Russia

    I. A. Matveev

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  1. I. A. Matveev
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Original Russian Text © I.A. Matveev, 2011, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2011, No. 5, pp. 95–101.

The article was translated by the authors.

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Matveev, I.A. Circular shortest path as a method of detection and refinement of iris borders in eye image. J. Comput. Syst. Sci. Int. 50, 778–784 (2011). https://doi.org/10.1134/S1064230711050157

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  • DOI: https://doi.org/10.1134/S1064230711050157

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