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Iris on the MoveTM

  • Reference work entry
  • First Online:
Encyclopedia of Biometrics

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Synonyms

Drive-up; Iris at a glance; Minimal constraint iris recognition; Portal; Walk-through; Walk-up

Definition

Iris on the MoveTM, 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 and 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-boxTM from the Hoyos Group are examples of related technologies.

Introduction

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

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References

  1. J.R. Matey, O. Naroditsky, K. Hanna, R. Kolczynski, D. LoIacono, S. Mangru, M. Tinker, T. Zappia, W.Y. Zhao, Iris on the MoveTM: acquisition of images for iris recognition in less constrained environments. Proc. IEEE 94(11), 1936–1947 (2006)

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  2. A. Mansfield, G. Kelly, D. Chandler, J. Kane, Biometric product testing: final report (CESG Contract X92A/4009309), Centre for Mathematics and Scientific Computing, UK National Physical Laboratory, 2001

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  3. J. Daugman, How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21–30 (2004)

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  4. International Biometrics Group, Independent testing of iris recognition technology, Final report, May 2005, NBCHC030114/0002. Study commissioned by the US Department of Homeland Security

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  5. A. Bertillon, La couleur de L’Iris. Ann. Demogr. Int. 7, 226–246 (1886)

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  7. J. Daugman, Biometric personal identification system based on iris analysis, U.S. Patent 5,291,560, 1 Mar 1994

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  8. P.J. Phillips, W.T. Scruggs, A.J. O’Toole, P.J. Flynn, K.W. Bowyer, C.L. Schott, M. Sharpe, FRVT 2006 and ICE 2006 large-scale results. NISTIR 7408, March 2007. See also http://iris.nist.gov/

  9. J. Daugman, Probing the uniqueness and randomness of IrisCodes: results from 200 billion iris pair comparisons. Proc. IEEE 94(11), 1927–1935 (2006)

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  10. ISO/IEC, Biometric data interchange formats – Part 6: Iris image data, ISO/IEC JTC 1/SC 37 N 504 (2004)

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  11. W.J. Smith, Modern Optical Engineering (McGraw-Hill, New York, 2000). ISBN:0-07-136360-2. http://en.wikipedia.org/wiki/Depth_of_field

  12. ACGIH, TLVs and BEIs (2006). ISBN:1-882417-62-3. www.acgih.org

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, US Naval Academy, Annapolis, MD, USA

    James R. Matey

Authors
  1. James R. Matey
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

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Matey, J.R. (2015). Iris on the MoveTM. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_219

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