Neurotechnology fingerprint matching algorithm is one of the most accurate for interoperable identity verification.
Vilnius, Lithuania – November 4, 2014 – Neurotechnology, a provider of high-precision biometric identification technologies, today 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 Dr. 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. These products and the entire Neurotechnology biometric product line are available through Neurotechnology or from distributors worldwide. For more information, go to: www.neurotechnology.com.
About NIST MINEX
The National Institute of Standards and Technology (NIST) is an agency of the U.S. Department of Commerce. The Minutiae Interoperability Exchange Test (MINEX) is an ongoing evaluation of the INCITS 378 fingerprint template. The test program has two mandates:
- To provide measurements of performance and interoperability of core template encoding and matching capabilities to users, vendors and interested parties.
- To establish compliance for template encoders and matchers for the United States Government’s Personal Identity Verification (PIV) program.
Neurotechnology is a provider of high-precision biometric fingerprint, face, iris, palmprint and voice identification algorithms, object recognition technology and software development products. More than 2500 system integrators, security companies and hardware providers integrate Neurotechnology’s algorithms into their products, with millions of customer installations worldwide.
Neurotechnology’s identification algorithms have consistently earned the highest honors in some of the industry’s most rigorous competitions, including the National Institute of Standards and Technology (NIST)’s Fingerprint Vendor Technology Evaluation (FpVTE), the Minutiae Interoperability Exchange Test (MINEX), the Iris Exchange (IREX) and the Fingerprint Verification Competitions (FVC).
Drawing from years of academic research in the fields of neuroinformatics, image processing and pattern recognition, Neurotechnology was founded in 1990 in Vilnius, Lithuania and released its first fingerprint identification system in 1991. Since that time the company has released more than 80 products and version upgrades for identification and verification of objects and personal identity.