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Iris Recognition in the Visible Wavelength

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Handbook of Iris Recognition

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

The human iris supports contactless data acquisition and can be imaged covertly. Thus, at least theoretically, the subsequent biometric recognition procedure can be performed without subjects knowledge. The feasibility of this type of recognition has received increasing attention and is of particular interest for forensic and security purposes, such as the pursuit of criminals and terrorists and the search for missing children. Among others, one active research area sought to use visible wavelength (VW) light imagery to acquire data at significantly larger distances than usual and on moving subjects, which is a difficult task because this real-world data is notoriously different from the one used in the near-infrared (NIR) setup. This chapter addresses the feasibility of performing reliable biometric recognition using VW data acquired under dynamic lighting conditions and unconstrained acquisition protocols: with subjects at large distances (between 4 and 8 m) and on-the-move.

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Acknowledgements

The financial support given by FCT-Fundação para a Ciência e Tecnologia and FEDER in the scope of the PTDC/EIA-EIA/103945/2008 NECOVID (Negative Covert Biometric Identification) research project is acknowledged.

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Authors and Affiliations

  1. University of Beira Interior, Covilhã, Portugal

    Hugo Proença

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  1. Hugo Proença
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Correspondence to Hugo Proença .

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Editors and Affiliations

  1. MITRE Corporation, Colshire Drive 7515, McLean, 22102-7539, Virginia, USA

    Mark J. Burge

  2. , Department of Computer Science and Engin, University of Notre Dame, Fitzpatrick Hall 384, Notre Dame, 46556-5637, Indiana, USA

    Kevin W. Bowyer

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Proença, H. (2013). Iris Recognition in the Visible Wavelength. In: Burge, M., Bowyer, K. (eds) Handbook of Iris Recognition. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-4402-1_8

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  • DOI: https://doi.org/10.1007/978-1-4471-4402-1_8

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4401-4

  • Online ISBN: 978-1-4471-4402-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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