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Quality and Demographic Investigation of ICE 2006

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Handbook of Iris Recognition

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

Abstract

There have been four major experimental evaluations of iris recognition technology in recent years: the ITIRT evaluation conducted by the International Biometric Group, the Iris 2006 evaluation conducted by Authenti-Corp, and the Iris Challenge Evaluation (ICE) 2006 and Iris Exchange (IREX) conducted by the National Institute of Standards and Technology. These experimental evaluations employed different vendor technologies and experimental specifications but yield consistent results in the areas where the specifications intersect. In the ICE 2006, participants were allowed to submit quality measures. We investigate the properties of their quality submissions.

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Notes

  1. 1.

    For details on IREX II IQCE, seehttp://iris.nist.gov

References

  1. Authenti-Corp: Iris recognition study 2006 (IRIS06). Tech. Rep. version 0.40, Authenti-Corp (2007).http://www.authenti-corp.com/iris06/report/

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  3. Grother, P.J., Tabassi, E., Quinn, G.W., Salamon, W.: IREX I performance of iris recognition algorithms on standard images. Tech. Rep. NISTIR 7629, National Institute of Standards and Technology (2009)

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  4. Grother, P., Tabassi, E.: Performance of biometric quality measures. IEEE Trans. PAMI29, 531–543 (2007)

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  5. International Biometric Group: Independent testing of iris recognition technology. Tech. rep., International Biometric Group (2005).http://www.ibgweb.com/reports/public/ITIRT.html

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  8. Phillips, P.J., Scruggs, W.T., O’Toole, A.J., Flynn, P.J., Bowyer, K.W., Schott, C.L., Sharpe, M.: FRVT 2006 and ICE 2006 large-scale results. IEEE Trans. PAMI32(5), 831–846 (2010)

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  9. Phillips, P., Bowyer, K.W., Flynn, P.J., Liu, X., Scruggs, W.T.: The Iris challenge evaluation 2005. In: Second IEEE International Conference on Biometrics: Theory, Applications, and Systems, Washington, DC (2008)

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Acknowledgements

We acknowledge the support of Department of Homeland Security’s Science and Technology Department and Transportation Security Administration (TSA), the Director of National Intelligence’s Information Technology Innovation Center, the Federal Bureau of Investigation (FBI), the National Institute of Justice, and the Technical Support Working Group (TSWG). This work was undertaken during PJF’s sabbatical leave at NIST. The support of NIST is gratefully acknowledged. Biometrics research at the University of Notre Dame is supported by the National Science Foundation under grant CNS01-30839, by the US Department of Justice, and by Unisys Corp. The identification of any commercial product or trade name does not imply endorsement or recommendation by the National Institute of Standards and Technology or the University. of Notre Dame.

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Authors and Affiliations

  1. National Institute of Standards and Technology, Gaithersburg, MD, USA

    P. Jonathon Phillips

  2. University of Notre Dame, IN, USA

    Patrick J. Flynn

Authors
  1. P. Jonathon Phillips
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  2. Patrick J. Flynn
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Correspondence to P. Jonathon Phillips .

Editor information

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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Phillips, P.J., Flynn, P.J. (2013). Quality and Demographic Investigation of ICE 2006. 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_5

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  • DOI: https://doi.org/10.1007/978-1-4471-4402-1_5

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4401-4

  • Online ISBN: 978-1-4471-4402-1

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