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Iris Recognition at Airports and Border Crossings

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Encyclopedia of Biometrics

Synonyms

CANPASS; CLEAR; Iris recognition immigration system (IRIS); NEXUS; Privium; RAIC

Definition

As case illustrations of generic biometric applications, there are at least five different modes in which automated personal identification by iris recognition is used at airports: (1) international arriving passengers can clear immigration control at iris-automated gates without passport or other identity assertion if they have been enrolled in a preapproved iris database; (2) departing passengers can receive expedited security screening and check-in as low-risk travelers if enrolled in an iris database following background checks; (3) airline crew members use iris recognition for controlled access to the secure air-side; (4) airport employees gain access to restricted areas within airports such as maintenance facilities, baggage handling, and the tarmac; and (5) arriving passengers may be screened against a watch-list database recording the irises of persons deemed dangerous, or of...

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References

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

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  2. UK Border Agency, Project IRIS website, http://www.ukba.homeoffice.gov.uk/managingborders/technology/iris/

  3. Canadian Border Services Agency, CANPASS website, http://cbsa-asfc.gc.ca/publications/pub/bsf5017-eng.html

  4. Singapore Iris-Based Border Control for Motorcyclists, http://www.youtube.com/watch?v=HieaASl9sE8&feature=related

  5. CLEAR Verified Identity Pass website, http://www.flyclear.com

  6. International Organisation for Standards, Biometric profiles for interoperability and data interchange, part 2: physical access control for employees at airports. ISO/IEC 24713-2 (2008)

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  7. Demographics of UAE (2008), http://en.wikipedia.org/wiki/United_Arab_Emirates

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

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Author information

Authors and Affiliations

  1. University of Cambridge, Cambridge, UK

    John Daugman

Authors
  1. John Daugman
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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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© 2015 Springer Science+Business Media New York

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Daugman, J. (2015). Iris Recognition at Airports and Border Crossings. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_24

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