Technical reports
Results from 200 billion iris cross-comparisons
June 2005, 8 pages
| DOI | https://doi.org/10.48456/tr-635 |
Abstract
Statistical results are presented for biometric recognition of persons by their iris patterns, based on 200 billion cross-comparisons between different eyes. The database consisted of 632,500 iris images acquired in the Middle East, in a national border-crossing protection programme that uses the Daugman algorithms for iris recognition. A total of 152 different nationalities were represented in this database. The set of exhaustive cross-comparisons between all possible pairings of irises in the database shows that with reasonable acceptance thresholds, the False Match rate is less than 1 in 200 billion. Recommendations are given for the numerical decision threshold policy that would enable reliable identification performance on a national scale in the UK.
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BibTeX record
@TechReport{UCAM-CL-TR-635,
author = {Daugman, John},
title = {{Results from 200 billion iris cross-comparisons}},
year = 2005,
month = jun,
url = {https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-635.pdf},
institution = {University of Cambridge, Computer Laboratory},
doi = {10.48456/tr-635},
number = {UCAM-CL-TR-635}
}