Idemia iris recognition algorithm tops leaderboard in NIST biometric accuracy testing
Iris biometric algorithms from Idemia has been placed atop the leaderboard for the latest version of the IREX 10: Identification Track test from the National Institute for Standards and Technology (NIST), with an FNIR (false negative identification rate) of 0.0051.
FNIR is calculated for the IREX 10 test with FPIR (false positive identification rate) set at 0.01, with plus or minus 90 percent confidence. Samples were taken from both eyes, of an enrolled population of 500,000 people, though the test was for accuracy with one eye. Idemia’s algorithm’s search time was found to be 30 seconds, and template creating time was found to be 0.77 seconds.
“The results of IREX 10 confirm IDEMIA’s leadership in biometric research since the early 1980s, and the expertise of IDEMIA’s teams in this field,” comments Idemia CTO Jean-Christophe Fondeu. “Ranking first in iris recognition once more shows how advanced our technology is. We are proud to have been among the main contributors to the spectacular improvement in accuracy and interoperability over the last 40 years.”
The company says in a press release announcing its results that multi-biometric identification is increasing in popularity due to its intuitiveness and ease, like facial recognition. The use of Idemia’s iris biometrics in Aadhaar, in the travel sector, and for border control in Singapore and Abu Dhabi are cited as examples. The technology can also now be embedded in “on the move” systems, according to Idemia, like its Gen 3.0 Border & Airport platform.
Idemia recently launched a biometric identity verification platform for enterprises.
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Article Topics
accuracy | algorithms | biometric testing | biometrics | IDEMIA | iris recognition | NIST
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