Neurotechnology fingerprint algorithm for smart cards passes NIST MINEX III evaluation

November 21, 2016 - 

Neurotechnology announced that it submitted its MegaMatcher On Card fingerprint matching algorithm implementation for smart cards for the NIST Minutiae Interoperability Exchange (MINEX) III evaluation and passed all key steps of the evaluation process.

The MINEX III evaluation is a series of tests involving fingerprint templates designed to establish compliance of template generators and template matchers for the SP 800-76-2 Biometric Specifications for Personal Identity Verification (PIV) U.S. government program for interoperability, native accuracy and ANSI INCITS 378 standard compliance requirements.

Given the fact that there is not yet a specific NIST MINEX evaluation for fingerprint matching on smart cards, the template matcher identified as Neurotechnology+0204 was evaluated as a PC-based algorithm.

Neurotechnology+0204 successfully passed the same requirements as algorithms that typically operate on more resource-intensive processors.

MegaMatcher On Card uses the same fingerprint matching technology as Neurotechnology+0204, which can efficiently run on even tiny microcontrollers in smart cards.

“The algorithms submitted for NIST MINEX III evaluation are normally designed to use the resources of standard PCs and servers,” said Antonello Mincone, business development manager for Neurotechnology. “Meeting the same criteria with our MegaMatcher on Card algorithm affirms to our customers that high quality, accurate and reliable fingerprint recognition can run efficiently on very small, secure microcontrollers embedded in smart cards or other tokens used in fields like National ID projects or payment applications products.”

In addition to achieving high accuracy rates based on the NIST Minex III criteria, MegaMatcher On Card is also proven to be fast as it can verify the cardholder’s fingerprint data in less than 0.5 seconds, on average, on a NXP P60 chip.

The library size fits in less than 16 Kb, including Java level on Java Card OS. This is remarkable considering that an average size fingerprint template with 48 minutiae and mandatory public data traditionally uses less than 256 bytes for persistent storage.

MegaMatcher on Card has multi-biometric match-on-card technology capabilities including fingerprint, face and iris modalities.

For each of these modalities, MegaMatcher on Card conducts the biometric template matching in a microprocessor embedded in the smart card instead of matching biometric data on a PC processor.
This process is designed for security purposes, ensuring that any personal biometric data is not uploaded to an external computer as in the case of a more basic template-on-card system.

Previously reported, Neurotechnology released the SentiVeillance 5.0 software development kit (SDK), which incorporates the new VeriLook face recognition algorithm featured in MegaMatcher 9.0.

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About Justin Lee

Justin Lee has been a contributor with Biometric Update since 2014. Previously, he was a staff writer for web hosting magazine and website, theWHIR. For more than a decade, Justin has written for various publications on issues relating to technology, arts and culture, and entertainment. Follow him on Twitter @BiometricJustin.