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Handbook of Iris Recognition pp 367–393Cite as

Optics of Iris Imaging Systems

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

Abstract

Iris imaging systems must capture iris images of sufficient quality to populate an enrollment database or to provide probe images that reliably match to existing enrollment images. From whatever distance they are taken, the iris images must therefore resolve information from the iris sufficient for the task of recognition. This chapter reviews concepts of optics and photography needed to specify requirements on the image acquisition components of systems which create iris images for the purpose of recognition. We consider fundamental and practical limitations of components of such systems and consider as examples, iris imaging systems that operate at 0.3 and 3 m on constrained and relatively unconstrained subjects.

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Notes

  1. 1.

    In this discussion, we assume that photons that end up in one bucket remain in that bucket. In reality, we need to consider the possibility of photons finding their way into neighboring buckets, an effect that would further degrade spatial resolution.

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Authors and Affiliations

  1. Distinguished Member of Technical Staff, Sarnoff Corporation, Princeton, NJ, 08543-5300, USA

    David A. Ackerman

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  1. David A. Ackerman
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Correspondence to David A. Ackerman .

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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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© 2013 Springer-Verlag London

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Ackerman, D.A. (2013). Optics of Iris Imaging Systems. 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_19

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  • DOI: https://doi.org/10.1007/978-1-4471-4402-1_19

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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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