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Pupil Light Reflex Mitigation Using Non-linear Image Warping

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Pattern Recognition and Image Analysis (IbPRIA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10255))

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Abstract

The human iris is one of the most reliable biometric features. Since it is a live organ, variations caused by pupil contraction/dilation will degrade the performance of a biometric system based on iris. This paper presents a method for generating images of irises with a specific dilation coefficient. The approach presented here uses a mathematical model that aims to emulate the dynamic of the iris with respect to the pupil dilation/contraction. The estimated images are generated using image an image warping technique. The iris image is approximated by re-mapping the radius of the polar coordinates using a nonlinear function. The proposed method benefits of low complexity and provides better results with respect to the photorealistic aspect and to the performance of iris biometric systems. The performance of the proposed model applied to the iris as a biometric system is tested using a commercial iris recognition system.

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Acknowledgments

This research is funded by the Enterprise Based Programme (EBP) of the Irish Research Council (www.research.ie).

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Authors and Affiliations

  1. National University of Ireland, Galway, Ireland

    Tudor Nedelcu, Claudia Costache & Peter Corcoran

  2. Fotonation Ltd., Galway, Ireland

    Shejin Thavalengal & Peter Corcoran

Authors
  1. Tudor Nedelcu
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  2. Shejin Thavalengal
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  3. Claudia Costache
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  4. Peter Corcoran
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Corresponding author

Correspondence to Tudor Nedelcu .

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Editors and Affiliations

  1. Universidade da Beira Interior , Covilhã, Portugal

    Luís A. Alexandre

  2. University Jaume I , Castellón, Spain

    José Salvador Sánchez

  3. University of the Algarve , Faro, Portugal

    João M. F. Rodrigues

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Nedelcu, T., Thavalengal, S., Costache, C., Corcoran, P. (2017). Pupil Light Reflex Mitigation Using Non-linear Image Warping. In: Alexandre, L., Salvador Sánchez, J., Rodrigues, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2017. Lecture Notes in Computer Science(), vol 10255. Springer, Cham. https://doi.org/10.1007/978-3-319-58838-4_34

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  • DOI: https://doi.org/10.1007/978-3-319-58838-4_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58837-7

  • Online ISBN: 978-3-319-58838-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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