MegaMatcher SDK

Large-scale AFIS and multi-biometric identification

MegaMatcher is designed for large-scale AFIS and multi-biometric systems developers. The technology ensures high reliability and speed of biometric identification even when using large databases.

Available as a software development kit that allows development of large-scale single- or multi-biometric fingerprint, iris, face, voice or palm print identification products for Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.

Technology Awards

MegaMatcher technology has received numerous awards and compliancy certifications from government and science authorities.

MINEX evaluations by NIST

  • MINEX III evaluation was successfully passed in 2015. In 2017 MegaMatcher SDK fingerprint technology has been ranked as the first most interoperable matcher and the fourth most accurate native template matcher vendor among all MINEX III compliant matchers. 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. MegaMatcher technology was recognized by the NIST as fully MINEX compliant. Read more.

PFT II (Proprietary Fingerprint Template) Evaluation

In 2017 Neurotechnology fingerprint algorithm was submitted to NIST Proprietary Fingerprint Template Evaluation II. The algorithm's template matching accuracy was among the best participants in most of the experiments. See our comment for more information.

FpVTE (Fingerprint Vendor Technology Evaluations) by NIST

  • FpVTE 2012 – in 2015 NIST recognized Neurotechnology's fingerprint identification algorithm as one of the fastest and most accurate among the evaluation's participants. See our comments on FpVTE 2012 participation for more details about the results.
  • FpVTE 2003 – one of the best reliability results in the Middle Scale Test were shown. Neurotechnology participated in FpVTE 2003 under the name Neurotechnologija. See the FpVTE 2003 web site for a detailed report of the evaluation results.

FIVE (Face in Video Evaluation)

In 2015 Neurotechnology face recognition engine to the NIST Face in Video Evaluation (FIVE). In average the submitted algorithm was ranked among top 8 most accurate face recognition algorithms out of 16 vendors. See our comment for more information.


IREX IV and IREX III by NIST

  • IREX IV – in 2013 Neurotechnology's iris recognition algorithm has been judged the by the NIST as one of the fastest and most accurate among the participants. See our comments on IREX IV participation for more details.
  • IREX III – in 2012 MegaMatcher iris matching algorithm was the second fastest and provided 3 times higher recognition accuracy than the only faster contender. Read more.

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.