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Handbook of Iris Recognition pp 129–150Cite as

A Theoretical Model for Describing Iris Dynamics

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

Abstract

We present a theoretical approach using what we know about tissue dynamics to explore the nonlinear dynamics of iris deformation. Current iris recognition algorithms assume a simple transformation to approximate the deformation of the iris tissue. Furthermore, current research work on iris deformation does not take into account the mechanical properties of the iris tissue nor the cause of deformation from the iris muscle activity. By looking at the tissue dynamics, we are able to gain a more comprehensive understanding of this deformation process. The results of this research work can potentially be leveraged into existing iris recognition systems.

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Acknowledgements

This material is based upon work supported by the US Department of Homeland Security under Grant Award Number 2007-ST-104-000006. The views and conclusions contained in this chapter are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the US Department of Homeland Security. Arun Ross was supported by US National Science Foundation CAREER Grant No. IIS 0642554.

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Authors and Affiliations

  1. University of Maryland, Maryland, USA

    Antwan D. Clark

  2. Rutgers University, Piscataway, NJ, USA

    Scott A. Kulp

  3. Rensselaer Polytechnic Institute, Troy, NY, USA

    Isom H. Herron

  4. West Virginia University, Morgantown, WV, USA

    A. A. Ross

Authors
  1. Antwan D. Clark
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  2. Scott A. Kulp
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  3. Isom H. Herron
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  4. A. A. Ross
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Corresponding author

Correspondence to Antwan D. Clark .

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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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Clark, A.D., Kulp, S.A., Herron, I.H., Ross, A.A. (2013). A Theoretical Model for Describing Iris Dynamics. 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_7

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  • DOI: https://doi.org/10.1007/978-1-4471-4402-1_7

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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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