IDEMIA Public Security have come out on top in the National Institute of Standards and Technology’s (NIST) latest tests for Evaluation of Latent Fingerprint Technologies (ELFT).

NIST ELFT is seen as the global benchmark for latent fingerprint and palm print identification used to identify latent fingerprints and palm prints found at crime scenes.

For the fourth time in a row, IDEMIA Public Security has been placed as the number one in the market with the most accurate and fastest (among the most accurate) algorithms.

In addition to accuracy, which increases the chances of identifying leads in law enforcement investigations, IDEMIA’s algorithms showed a very low False Positive Identification Rate (FPIR – at less than 8% whereas the nearest competitor is at above 11%), allowing the latent examiner to process more cases, accurately and faster.

Furthermore, according to NIST, IDEMIA demonstrated superior performance in palmprint identification. Using this technology, the human-Artificial Intelligence (AI) duo becomes more productive and the examiner’s valuable time is optimised.

“Based on our performance in this benchmark, we are able to confirm our long-term commitment to investing in further developing the technology and creating continuously more value for the customers,” said Jean-Christophe Fondeur, IDEMIA Public Security Chief Technology Officer. “Our ability to offer cutting-edge products goes hand in hand with our long-standing 50-plus-year pledge to provide law enforcement agencies with the best systems on the market.

“I am very proud to announce that the latest algorithms submitted to this benchmark are already available in our flagship Multi-Biometric Search Services (MBSS) solutions. I would like to congratulate our teams of developers on their hard work and innovation.”

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