Technology Awards
VeriFinger fingerprint identification technology has received numerous awards in competitions and technology evaluations since its release in 1998.
FRIF TE E1N (Friction Ridge Image and Features Technology Evaluation Exemplar One-to-Many) results
In December 2025, Neurotechnology achieved first position in the new NIST's FRIF TE E1N evaluation for one-to-many fingerprint identification, outperforming other contenders. The submitted algorithm showed exceptional robustness across three varied testing environments: Class A (index fingers), Class B (multi-finger slaps in 4-4-2 configuration), and Class C (full plain ten-finger in 4-4-1-1 configuration). See our press release for more information.
MINEX evaluations by NIST
- MINEX III evaluation was successfully passed in 2015. In 2026, Neurotechnology continues to lead the NIST MINEX III evaluation with its fingerprint template matching algorithm ranked first.. Ongoing algorithm refinement has validated its position as the top vendor. since first-place achievement in the template generator algorithm category in 2019. See our comments on MINEX III participation for more details about the results.
- MINEX Ongoing evaluation was successfully passed in 2014. The second place in the Ongoing MINEX ranking for fingerprint matching algorithms was achieved. VeriFinger algorithm as part of the MegaMatcher technology was recognized by the NIST as fully MINEX compliant. Read more.
FVC-onGoing results
In 2020 Neurotechnology's fingerprint recognition algorithm has shown the top result at the FVC-onGoing evaluation. The fingerprint extractor and matcher, which are included in VeriFinger SDK as part of the MegaMatcher technology, were ranked as the most accurate for both FV-STD-1.0 and FV-HARD-1.0 benchmarks. Our press release has more information.
PFT II and PFT III (Proprietary Fingerprint Template) Evaluations
Different versions of Neurotechnology's fingerprint recognition algorithm were submitted to the NIST Proprietary Fingerprint Template Evaluation. The algorithm's template matching accuracy was among the best participants at the previous PFT II evaluation. Our latest submissions to the PFT II and the ongoing PFT III are in average the most accurate algorithms in all the tests. See our comments for more information.
SlapSeg III Evaluation
Neurotechnology's slap fingerprint segmentation algorithm showed off as a top performer in the SlapSeg III evaluation, featuring the fastest performance and almost the best accuracy in most categories of the SlapSeg III evaluation. See our comments for more information.
WSQ 3.1 Certification by the FBI
In 2011 FBI certified Neurotechnology's implementation of WSQ image format support. Certificates and additional information are available.
FVC2006, FVC2004, FVC2002 and FVC2000 results
Neurotechnology participated in the Fingerprint Verification Competition several times and won numerous medals for reliability and performance. See the FVC2006 participation results, as well as FVC2004, FVC2002 and FVC2000 results for more information.
