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Signal, Image and Video Processing

, Volume 8, Issue 1, pp 1–10 | Cite as

A new accurate noise-removing approach for non-cooperative iris recognition

  • Hamed Ghodrati
  • Mohammad Javad Dehghani
  • Habibolah Danyali
Original Paper

Abstract

The applications of biometric technology for automated personal identification become ubiquitous. Iris recognition is well known for high accuracy and reliability among the biometric traits. This paper presents an efficient noise-removing approach for non-cooperative iris recognition systems. Proposed method removed the noise factors including eyelids, eyelashes, reflections, out of framework, pupil and sclera. The novelty is to detect eyelashes and reflections through finding appropriate thresholds using a procedure called statistical decision making. The eyelids are detected using parabolic Hough transform in normalized iris image to increase computational speed. In addition, a coarse-to-fine strategy for accurate and fast iris localization is proposed. The Gabor-wavelet and a novel encoding strategy proposed in our previous work are also used here to generate the iris codes. We elaborate the principle of mask code generation to assign noisy bits in an iris code to exclude them in matching step. Experimental results on CASIA-IrisV3-Interval database show superiority of the proposed scheme among other state-of-the-art methods available in the literature.

Keywords

Iris segmentation Noise-removing Statistical decision making Iris code Mask code Hough transform 

Notes

Acknowledgments

We highly appreciate Iran Research Centre of Intelligent Signal Processing (RCISP) for its support to this research as a part of M.Sc. thesis.

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Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  • Hamed Ghodrati
    • 1
  • Mohammad Javad Dehghani
    • 1
  • Habibolah Danyali
    • 1
  1. 1.Department of Telecommunication EngineeringShiraz University of TechnologyShirazIran

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