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Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons

Daugman, J.·2006·Proceedings of the IEEE

Abstract

Recent large-scale deployments of iris recognition for border-crossing controls enable critical assessment of the robustness of this technology against making false matches, since vast numbers of cross comparisons become possible within large databases. This paper presents results from the 200 billion iris cross comparisons that could be performed within a database of 632 500 different iris images, spanning 152 nationalities. Each iris pattern was encoded into a phase sequence of 2048 bits using the Daugman algorithms. Empirically analyzing the tail of the resulting distribution of similarity scores enables specification of decision thresholds, and prediction of performance, of the iris recognition algorithms if deployed in identification mode on national scales

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Metadata

Authors
Daugman, J.
Venue
Proceedings of the IEEE
Published
2006-11
Volume
94
Issue
11
Pages
1927-1935
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W2090425678
Cited by
467
References
1
FWCI
44.66
Type
journal article
Language
en
Open access
closed

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