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Robust Iris Localisation in Challenging Scenarios

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Computer Vision, Imaging and Computer Graphics -- Theory and Applications (VISIGRAPP 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 458))

Abstract

The use of images acquired in unconstrained scenarios is giving rise to new challenges in the field of iris recognition. Many works in literature reported excellent results in both iris segmentation and recognition but mostly with images acquired in controlled conditions. The intention to broaden the field of application of iris recognition, such as airport security or personal identification in mobile devices, is therefore hindered by the inherent unconstrained nature under which images are to be acquired. The proposed work focuses on mutual context information from iris centre and iris limbic and pupillary contours to perform robust and accurate iris segmentation in noisy images. The developed algorithm was tested on the MobBIO database with a promising \(96\,\%\) segmentation accuracy for the limbic contour.

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Acknowledgements

The authors would like to thank Fundação para a Ciência e Tecnologia (FCT) - Portugal the financial support for the PhD grants with references SFRH/ BD/74263/2010 and SFRH/BD/87392/2012.

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Authors and Affiliations

  1. INESC TEC and Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João C. Monteiro, Ana F. Sequeira, Hélder P. Oliveira & Jaime S. Cardoso

Authors
  1. João C. Monteiro
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  2. Ana F. Sequeira
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  3. Hélder P. Oliveira
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  4. Jaime S. Cardoso
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Corresponding author

Correspondence to João C. Monteiro .

Editor information

Editors and Affiliations

  1. Università di Catania, Catania, Catania, Italy

    Sebastiano Battiato

  2. Inria/ZIRST, Saint Ismier, France

    Sabine Coquillart

  3. Swansea University, Swansea, United Kingdom

    Robert S. Laramee

  4. Linnaeus University, Växjö, Sweden

    Andreas Kerren

  5. Escola Superior de Tecnologia do IPS, Setúbal, Portugal

    José Braz

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Monteiro, J.C., Sequeira, A.F., Oliveira, H.P., Cardoso, J.S. (2014). Robust Iris Localisation in Challenging Scenarios. In: Battiato, S., Coquillart, S., Laramee, R., Kerren, A., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics -- Theory and Applications. VISIGRAPP 2013. Communications in Computer and Information Science, vol 458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44911-0_10

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  • DOI: https://doi.org/10.1007/978-3-662-44911-0_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44910-3

  • Online ISBN: 978-3-662-44911-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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