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News

Biometric software meets US fingerprint matching requirements

Neurotechnology : 07 November, 2014  (New Product)
Fingerprint biometric technology from Neurotechnology gains second place in MINEX rankings for fingerprint matching algorithms thereby meeting US public sector requirements
Biometric software meets US fingerprint matching requirements

Neurotechnology has announced that the latest version of its fingerprint matching algorithm has achieved second place in the Ongoing MINEX evaluation organized by NIST. The MINEX test measures the interoperability of fingerprint algorithms using the INCITS 378 fingerprint standard template format. MINEX compliance is often a mandatory requirement in public tenders in the United States and many other countries worldwide, as well as in projects for private enterprises and consumer products that use logical and physical authentication through fingerprint verification.

When a vendor submits a fingerprint matcher for MINEX evaluation, the fingerprint matching result is generated by comparing two templates: one template is generated with the feature extractor provided by the same vendor of the matching algorithm and a second template is generated with any of the feature extractors already qualified as MINEX compliant.  

The submitted fingerprint matcher must ensure accurate results on a large number of comparisons using all previously compliant feature extractors in order to be also classified as MINEX compliant.

The latest Neurotechnology matching algorithm (4T) has not only passed the MINEX Baseline Compliance requirement with all the previously submitted 63 feature extractors from 36 different companies, but also, on average, it has shown a False Rejection Rate (FRR) of just 0.06%, achieving second place for precision among all previously submitted matching algorithms in the Ongoing MINEX evaluation and placing very close to the first place algorithm that has an average FRR of 0.05%.

“We are glad to offer to our customers the option to upgrade their current fingerprint verification systems with an interoperable matching technology that, in most cases, will work even better with their existing standard template data,” said Justas Kranauskas head of the biometric research department for Neurotechnology.

The results achieved by Neurotechnology’s 4T algorithm surpasses the MINEX compliance criteria threshold by 15 times, further proving the strong reliability of the algorithm for use in a wide variety of high security applications.

The fingerprint matching algorithm used for the ANSI/INCITS 378 templates is included in several of Neurotechnology’s products: MegaMatcher Accelerator, MegaMatcher SDK and VeriFinger Extended SDK.

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