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A Circular Eccentric Iris Segmentation Procedure for LG2200 Eye Images

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Soft Computing Applications (SOFA 2016)

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

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Abstract

This paper proposes an eccentric circular ring iris extractor as an instrument for future comparative iris recognition studies and, also, as an intrinsic result pointing, among other things, to a new kind of segmentation error documented and exemplified here for the first time, as far as we know, namely the eccentricity detection error. There are iris code matching errors for which the eccentricity detection error is the only cause, matching errors which unfortunately are insurmountable. Otherwise, the proposed segmentation procedure performs reasonably well on such a difficult database (LG2200 subset of ND-CrossSenssor-Iris-2013 dataset, consisting in 116,564 eye images), proving a failure rate of 3.26%.

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Acknowledgement

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

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Authors and Affiliations

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

    Cristina-Madalina Noaica

  2. Applied Computer Science Testing Laboratory (ACSTL), Bucharest, Romania

    Cristina-Madalina Noaica

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  1. Cristina-Madalina Noaica
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Correspondence to Cristina-Madalina Noaica .

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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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Noaica, CM. (2018). A Circular Eccentric Iris Segmentation Procedure for LG2200 Eye Images. 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_31

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  • DOI: https://doi.org/10.1007/978-3-319-62524-9_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62523-2

  • Online ISBN: 978-3-319-62524-9

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