Encyclopedia of Biometrics

2009 Edition
| Editors: Stan Z. Li, Anil Jain

Iris on the Move™

  • James R. Matey
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_219

Synonyms

Definition

Iris on the Move™, commonly referred to as IOM, is an approach to acquiring iris images suitable for iris recognition while minimizing the constraints that need to be placed on the subject. Sarnoff Corporation developed IOM under contract to the United States Government: NMA401-02-9-2001.

Multiple implementations of IOM have been demonstrated; they include: a portal walk-through system, an on-the-wall walk-up system, an over-the-door walk-through system and a roadside drive-up system. The key features of the IOM systems are large  capture volume, large standoff distances and the capability of capturing recognition quality iris images while the subject is in motion [1].

The Panasonic “Iris at a Glance” systems and the H-box™ from the Hoyos Group are examples of related technologies.

Introduction

Iris recognition is one of the strongest biometric available [2, 3, 4]....

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References

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    Matey, J.R., Naroditsky, O., Hanna, K., Kolczynski, R., LoIacono, D., Mangru, S., Tinker, M., Zappia, T., Zhao, W.Y.: Iris on the Move™: acquisition of images for iris recognition in less constrained environments. Proc. IEEE 94(11), 1936–1947 (2006).CrossRefGoogle Scholar
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    Daugman, J.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21–30 (2004)CrossRefGoogle Scholar
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    International Biometrics Group: Independent testing of iris recognition technology, Final report, May 2005, NBCHC030114/0002. Study commissioned by the US Department of Homeland SecurityGoogle Scholar
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    Schwartzman, J. producer.: Never Say Never Again [motion picture]. Warner Bros. (1983)Google Scholar
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    Daugman, J.: “Biometric personal identification system based on iris analysis.” US Patent 5,291,560, 1 Mar 1994Google Scholar
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    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.” NISTIR 7408, March 2007. See also http://iris.nist.gov/
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    Daugman, J.: Probing the uniqueness and randomness of IrisCodes: results from 200 billion iris pair comparisons. Proc. IEEE 94(11), 1927–1935 (2006)CrossRefGoogle Scholar
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    ISO/IEC: “Biometric data interchange formats – Part 6: Iris image data” ISO/IEC JTC 1/SC 37 N 504 (2004)Google Scholar
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    Smith, W.J.: Modern Optical Engineering. McGraw-Hill, New York (2000). ISBN 0-07-136360-2. http://en.wikipedia.org/wiki/Depth_of_field
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    ACGIH: TLVs and BEIs (2006). ISBN 1-882417-62-3. www.acgih.org

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • James R. Matey
    • 1
  1. 1.Electrical and Computer Engineering DepartmentUS Naval AcademyAnnapolisUSA