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 May 2026, Neurotechnology's fingerprint identification algorithm, submitted as Neurotechnology+0106, achieved first place in the majority of NIST FRIF TE E1N test categories. See our our comments for more information.
PFT II and PFT III (Proprietary Fingerprint Template) Evaluations
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PFT III – in April 2026 Neurotechnology's fingerprint recognition algorithm showed the fastest speed with top-tier accuracy. The previous algorithm submission was confirmed as the most accurate in PFT III during the most recent review.
See our comments for more information. - PFT II – previously, different versions of Neurotechnology's fingerprint recognition algorithm were submitted to the NIST Proprietary Fingerprint Template Evaluation. The algorithm submissions showed the best overall template matching accuracy at the previous PFT II evaluation.
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.
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.
