Independent Biometric Performance Testing

Neurotechnology participated in four editions of the Fingerprint Verification Competition under its former name, Neurotechnologija. The company adopted the name Neurotechnology in April 2008.

• 2000 – FVC2000 – In the first Fingerprint Verification Competition, Neurotechnology's VeriFinger algorithm achieved the best reliability results among all participants.
• 2002 – FVC2002 – Neurotechnology continued its participation in FVC2002, where its fingerprint recognition algorithm received one silver and two bronze medals across the evaluated datasets and performance measures.
• 2004 – FVC2004 – VeriFinger received four gold, three silver and two bronze medals in the Open Category. FingerCell, the company's fingerprint technology for embedded and lower-resource platforms, received one gold, six silver and three bronze medals in the Light Category.
• 2006 – FVC2006 – In FVC2006, Neurotechnology's P058 algorithm achieved the highest overall ranking in the Open Category according to Average Zero FMR. The algorithm received four gold, two silver and two bronze medals in this category. A separate Neurotechnology algorithm ranked second in the Light Category according to Average Zero FMR and received one gold and four bronze medals.

Neurotechnology's fingerprint evaluation history with NIST dates back to 2003, when the company participated in the Fingerprint Vendor Technology Evaluation (FpVTE). The algorithm showed one of the strongest reliability results in the Middle Scale Test.

The company has also participated in the Minutiae Interoperability Exchange (MINEX) evaluations. Neurotechnology was recognized as MINEX compliant in 2007 for both fingerprint template generation and matching and placed second in the Ongoing MINEX ranking in 2014.

In 2011, Neurotechnology's WSQ 3.1 implementation received seven FBI certifications, one for each supported computing platform.

Its participation continued in FpVTE 2012, where algorithms based on MegaMatcher SDK and MegaMatcher Accelerator were evaluated.

When NIST published the final report in 2015, the company's submission ranked fourth for overall accuracy.

In 2017, MegaMatcher SDK fingerprint technology ranked as the most interoperable matcher and the fourth most accurate native template matcher among the MINEX III-compliant matchers evaluated at the time. In 2018, its template generator ranked first for interoperability and its matcher ranked second.

In 2019, a Neurotechnology submission achieved first place in the template generator category. In October 2023, smart-card submission 020A was confirmed as MINEX III compliant. In 2026, the company continued to lead key MINEX III results.

MINEX III remains active, meaning that the results may change as participants submit updated algorithms.

In 2020, Neurotechnology's fingerprint extractor and matcher achieved the top result in both the FV-STD-1.0 and FV-HARD-1.0 verification benchmarks.

Neurotechnology participated in NIST SlapSeg III. The published results show tradeoffs between speed and accuracy; the company's submission was neither the fastest nor the most accurate across the four reported categories.

Neurotechnology's latest PFT II submission, identified as 4E, ranked among the most accurate algorithms. The program ended in 2019, after which Neurotechnology continued its participation in PFT III.

Neurotechnology held the top position in NIST PFT evaluations continuously since 2019, confirmed in successive PFT III result releases in 2022, 2023, 2024 and 2025.

In the latest PFT III results reviewed in 2026, one Neurotechnology submission achieved the highest accuracy, while another emphasized faster matching and smaller templates.

PFT III remains an active evaluation.

Neurotechnology began its publicly documented participation in the NIST Evaluation of Latent Friction Ridge Technology in 2024. In December of that year, the company announced that its first publicly reported ELFT submission had achieved the highest accuracy across most of the evaluated datasets.

In 2026, the company repeated a top-ranking achievement in ELFT, securing first positions in both identification and investigation scenarios on key datasets.

VeriFinger 13.1 ranked first among three valid submissions from six registered teams. It achieved the highest area under the ROC curve. Its failure-to-enroll rate represented a generation-over-generation improvement from the earlier VeriFinger 12.3 baseline; it was not the best failure-to-enroll result in the competition.

Neurotechnology continued its involvement in the second Latent in the Wild Fingerprint Recognition Competition, held as part of IJCB 2025.

Neurotechnology co-authored the publication presenting the competition and its results.

[INTERNAL CONFIRMATION REQUIRED: Add Neurotechnology's exact 2025 recognition and quality-assessment placements after checking the complete IJCB paper. Until then, state participation only; the results are published, but the company's placement has not been confirmed from the paywalled paper.]

In 2025, the Unique Identification Authority of India named Neurotechnology the winner of its Biometrics SDK Benchmarking Challenge for fingerprint recognition.

A notable feature of the challenge was its use of a unique longitudinal fingerprint dataset. The initial samples were collected from children aged 5–10, with corresponding samples captured again after a period of 5–10 years.

Following technical screening and strict security requirements, three submissions were selected for the final evaluation, with Neurotechnology securing first place.

More recently, Neurotechnology participated in the Friction Ridge Image and Features Technology Evaluation Exemplar One-to-Many (FRIF TE E1N).

In 2025, its submission ranked first in the majority of NIST FRIF TE E1N test categories, including index-finger and multi-finger identification scenarios.

The Neurotechnology+0106 submission tied for first with one other participant in Class A index-finger identification. In Class B, it ranked second of 11 on individual slaps.

It ranked second in Class C ten-finger identification. FRIF TE E1N remains active and evaluates one-to-many identification across different numbers and types of fingerprint images.

In 2019, Neurotechnology achieved first place in the FVC-onGoing palmprint recognition benchmark.

In 2015, the company submitted an experimental face recognition engine integrated with a face tracker to the Face in Video Evaluation (FIVE).

The submitted algorithm ranked among the top eight most accurate algorithms out of 16 vendors.

Neurotechnology algorithms were included in NIST testing for paperless travel and immigration scenarios. Submissions made in 2019 and 2021 were evaluated in simulations involving biometric boarding and airport security galleries.

Neurotechnology submissions ranked among the leading algorithms in border-control, kiosk, frontal mugshot and profile mugshot scenarios.

In July 2023, FRVT was split and rebranded into Face Recognition Technology Evaluation (FRTE) and Face Analysis Technology Evaluation (FATE), and Neurotechnology continued participating in these newer evaluation tracks.

In 2018, Neurotechnology ranked sixth of 40 participants and third of 40 when probe images were captured up to 18 years after enrollment.

In FRTE 1:1 Verification results, the company's algorithm ranked among the top results in border-control-related scenarios.

In FRTE 1:N Identification, Neurotechnology showed strong performance in both civil identification and investigation-style scenarios, including frontal and profile mugshot matching and border-control comparisons.

In FRTE Face Mask Effects results, the algorithm achieved top results for recognizing people wearing face masks or other lower-face occlusions.

Neurotechnology's face presentation-attack detection technology received iBeta ISO/IEC 30107-3 Level 2 certification in December 2025. This independent certification is separate from NIST FATE Presentation Attack Detection and should not be presented as participation in that NIST evaluation.

In 2026, Neurotechnology participated in the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2026 International Joint Conference on Biometrics (IJCB 2026). The submission was entered as DMSTI-Neurotechnology, reflecting a research collaboration between Neurotechnology and DMSTI, the Institute of Data Science and Digital Technologies at Vilnius University.

DMSTI-Neurotechnology ranked first in the Full Data Track.

In FATE Quality, Neurotechnology's facial image quality assessment algorithm was tested on challenging photographic conditions.

In FATE MORPH, Neurotechnology participated in the evaluation of face morphing attack detection, an area relevant to document issuance and identity fraud prevention.

Neurotechnology's IREX participation dates back to 2009, when its VeriEye 2.1 iris matching algorithm ranked among the top three for accuracy in NIST IREX I.

In 2012, NIST evaluated more than 86 algorithms and variations from nine companies and two universities. Neurotechnology's iris matcher was the second-fastest submission.

NIST IREX IV evaluated 66 iris-recognition prototypes from 12 commercial and academic organizations in a large-scale identification task. Across all tests, Neurotechnology's submissions ranked among the top four participants for accuracy.

NIST evaluated 46 iris-recognition algorithms from 13 commercial and research organizations in IREX IX. Neurotechnology's algorithms ranked second for accuracy.

In May 2026, the company's latest iris recognition algorithm ranked first in all IREX 10 evaluation categories, covering both single-eye and two-eye assessments.

IREX 10 remains an active evaluation.

Neurotechnology participated in the NIST 2024 Speaker Recognition Evaluation.

NIST publicly names participating teams but does not link team names to scores, and its evaluation plan restricts promotional claims about standing.

Confirm internally which tracks Neurotechnology entered and which participation details may be published; do not make ranking or endorsement claims.