Encyclopedia of Biometrics

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

Iris Recognition at Airports and Border-Crossings

  • John Daugman
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_24



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...

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    Daugman, J.G.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14, 21–30 (2004)CrossRefGoogle Scholar
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    Canadian Border Services Agency, CANPASS website. http://cbsa-asfc.gc.ca/publications/pub/bsf5017-eng.html
  4. 4.
    Singapore Iris-Based Border Control for Motorcyclists. http://www.youtube.com/watch?v=HieaASl9sE8& feature=related
  5. 5.
    CLEAR Verified Identity Pass website. http://www.flyclear.com
  6. 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)Google Scholar
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    Daugman, J.G.: Probing the uniqueness and randomness of IrisCodes: results from 200 billion iris pair comparisons. Proc. IEEE 94, 1927–1935 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • John Daugman
    • 1
  1. 1.Computer Laboratory University of CambridgeCambridgeUK