Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced that the company has confirmed the first place position in the NIST Proprietary Fingerprint Template (PFT) III evaluation results released on March 7, 2022. Since 2019, Neurotechnology’s fingerprint recognition algorithms have held the number one position in NIST PFT evaluations as the company has continued to innovate and improve both the speed and accuracy of their biometric algorithms.

The highly accredited National Institute of Standards and Technology (NIST) has, with its Proprietary Fingerprint Template (PFT) evaluation, provided the largest and most recognized ongoing assessment of fingerprint verification available today. Since fingerprint templates are not necessarily standardized across all vendors, each algorithm developer uses their latest technology to showcase the full potential of their indvidual algorithms. Neurotechnology’s top position in PFT III demonstrates the fully enhanced capabilities of the company’s latest R&D advancements.

The Proprietary Fingerprint Template evaluation determines the algorithmic capabilities of one-to-one fingerprint verification and assesses the accuracy of final stage fingerprint matchers used in one-to-many Automated Fingerprint Identification System (AFIS) searches. The most recent generations of the PFT evaluation cover:

PFT II: one-to-one fingerprint verification evaluation. Active between 2010 and 2019, PFT II was used to evaluate plain versus plain, plain versus rolled, and rolled versus rolled fingerprint verification scenarios and reported template extraction times, template sizes, and match times.
PFT III: the continuation of the previous PFT generation evaluations now includes several PFT III-specific datasets.
To provide a more comprehensive comparison of algorithmic function, NIST included in this current evaluation the accuracies that were being tested in the PFT 2003 and PFT II evaluations. This process provided a comparison of the algorithm submissions across all current and former PFT evaluations.