Segmentation for Iris Localisation: A Novel Approach Suitable for Fake Iris Detection

  • Bodade M. Rajesh
  • Talbar N. Sanjay
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)


In iris recognition system, accurate iris segmentation and localisation from eye image is the foremost important step. In this paper a robust and efficient method of iris segmentation is proposed. In the proposed method, the outer boundary of iris is calculated by tracing objects of various shape and structure. Based on the pupil size variation, the inner boundary of iris is detected. The variation in pupil size is also used for aliveness detection of iris. Thus, this approach is a very promising technique in making iris recognition systems more robust against fake-iris-based spoofing attempts. The algorithm is tested on UPOL database of 384 images both eyes of 64 subjects. The success rate of accurate iris localisation from eye image is 99.48% with minimal loss of iris texture features in spatial domain as compared to all existing techniques. The processing time required is also comparable with existing techniques.


Iris Segmentation Fake Iris Detection Pupil Dynamics Dynamic Iris Localisation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Bodade M. Rajesh
    • 1
  • Talbar N. Sanjay
    • 2
  1. 1.Military College of Telecommunication EngineeringIndia
  2. 2.S.G.G.S. Institute of Engineering and TechnologyVishnupuriIndia

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