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International Workshop Soft Computing Applications

SOFA 2016: Soft Computing Applications pp 445–459Cite as

Circular Fuzzy Iris Segmentation Using Isolines, Sine Law and Lookup Tables

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 634))

Abstract

This paper proposes a new and original fuzzy approach to circular iris segmentation based on isolines, sine law and lookup tables. All isolines found in the eye image together form the space in which the inner and outer boundaries of the iris are searched for, while the sine law is used for identifying clusters of concyclic points within any given and possibly noisy isoline. The new segmentation procedure proved a failure rate of 5.83% when tested on 116,564 eye images (LG2200 subset of ND-CrossSenssor-Iris-2013 database) at an average speed of four images per second on a single Xeon L5420 core.

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Acknowledgement

This work was supported by the Applied Computer Science Laboratory (Bucharest, Romania).

Author information

Authors and Affiliations

  1. Applied Computer Science Lab (ACSL), Bucharest, Romania

    N. Popescu Bodorin & P. S. Penariu

  2. Faculty of Engineering, University ‘Aurel Vlaicu’ of Arad, Arad, Romania

    V. E. Balas

  3. Computer Science Department, University of Bucharest, Bucharest, Romania

    P. S. Penariu

Authors
  1. N. Popescu Bodorin
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  2. V. E. Balas
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  3. P. S. Penariu
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Corresponding author

Correspondence to N. Popescu Bodorin .

Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. University of Canberra, Canberra, South Australia, Australia

    Lakhmi C. Jain

  3. Universitatea Aurel Vlaicu Din Arad, Arad, Romania

    Marius Mircea Balas

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Popescu Bodorin, N., Balas, V.E., Penariu, P.S. (2018). Circular Fuzzy Iris Segmentation Using Isolines, Sine Law and Lookup Tables. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-319-62524-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-62524-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62523-2

  • Online ISBN: 978-3-319-62524-9

  • eBook Packages: EngineeringEngineering (R0)

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