Neurotechnology’s fingerprint matching algorithm gets high marks in Ongoing MINEX evaluation

November 5, 2014 - 

The latest version of Neurotechnology’s fingerprint matching algorithm has achieved second place in the National Institute of Standards and Technology’s continual evaluation of fingerprint template encoding and matching technologies.

The Ongoing Minutiae Interoperability Exchange Test (or “Ongoing MINEX”) is organized by NIST and provides an ongoing evaluation of the interoperability of fingerprint algorithms using the INCITS 378 fingerprint standard template format.

It is aimed at measuring performance and interoperability of core template encoding and matching capabilities, and establishing compliance for template encoders and matchers for the United States Government’s Personal Identity Verification (PIV) program. MINEX compliance is often a mandatory requirement in public tenders in the U.S. as well as many other countries, as well as for private enterprises and consumer products that use fingerprint authentication.

Neurotechnology’s latest matching algorithm, 4T, passed the MINEX Baseline Compliance requirements and showed a False Rejection Rate of just 0.06 percent on average, achieving second place for precision among all previously submitted matching algorithms in the Ongoing MINEX evaluation.

Earlier this year, Neurotechnology updated its entire line of biometric SDKs which included significant improvements in functionality and recognition accuracy.

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About Stephen Mayhew

Stephen Mayhew is the publisher and co-founder of Biometrics Research Group, Inc.. His experience includes a mix of entrepreneurship, brand development and publishing. Stephen attended Carleton University and lives in Toronto, Canada. Connect with Stephen on LinkindIn.