Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced that after just a two-month gap, the company’s proprietary algorithm once again leads the National Institute of Standards and Technology (NIST) Proprietary Fingerprint Template III (PFT III) evaluation.
The NIST PFT III evaluation assesses the performance of fingerprint verification algorithms using vendor-specific templates, enabling participants to demonstrate their proprietary capabilities. The latest results showcase Neurotechnology's track record of continually developing industry-leading fingerprint technologies.
“The evaluation landscape is dynamic, and it is interesting to see other vendors trying to overtake our top spot in PFT III which we held for several years," said Evaldas Borcovas, head of biometric technologies research at Neurotechnology. “The evaluation offers a valuable platform to showcase the advantage of our custom fingerprint verification algorithms. Our entire team is proud of the results we have achieved and will continue to be the leading force in fingerprint recognition."
On its main PFT III results page, NIST presents testing results for four datasets: two from criminal investigations (Arizona Departmentof Public Safety and Los Angeles County Sheriff's Department) and two from border control (The Port of Entry/BioVisa Application and The US VISIT #2).
For each dataset, it reports False Non-Match Rates (FNMR) at three distinct False Match Rates (FMR). Among the participating algorithms, Neurotechnology's latest algorithm, Neurotechnology+0011, achieved the lowest FNMR values at nearly all measured FMR values across the datasets.
Neurotechnology, as a multi-biometric solutions developer, is also an active participant in other NIST evaluations of different biometric modalities. Over the years, the company's biometric algorithms have achieved top results in independent technology evaluations, including NIST ELFT, SlapSegIII, MINEX III, FRVT, and IREX 10.
