Neurotechnology's algorithm tops test at FVC
19 May 2020 19:06 GMT

Neurotechnology, a provider of deep learning-based solutions, robotics, ultrasound and high-precision biometric identification technologies, today announced that the company’s proprietary fingerprint recognition algorithm achieved the highest accuracy in the latest FVC-onGoing fingerprint verification results. The fingerprint extractor and matcher, which are included in Neurotechnology's MegaMatcher SDK, were ranked as the most accurate for both FV-STD-1.0 and FV-HARD-1.0 benchmarks.

"With this top-ranked result in the FVC-onGoing and our top ranking in both the NIST MINEX III and PFT III evaluations, we are pleased to be able to call our fingerprint algorithm the most accurate in the world," said Evaldas Borcovas, fingerprint recognition team lead at Neurotechnology. "I am proud of our team for achieving algorithms with such high accuracy, and it is a testament to our company’s many years of dedication to the field of biometrics. Our customers can be confident that our technology will provide them with the best possible performance," Borcovas added.

FVC-onGoing is an evaluation system for fingerprint recognition algorithms first organized in 2009 by the Biometric System Laboratory team at the University of Bologna in Italy. The FV-STD-1.0 benchmark contains fingerprint images acquired in operational conditions using high-quality optical scanners. The FV-HARD-1.0 benchmark contains a relevant number of difficult cases (noisy images, distorted impressions, etc.) that make fingerprint verification more challenging.

The top-ranked Neurotechnology fingerprint algorithm evaluated at FVC-onGoing is part of the Neurotechnology MegaMatcher multibiometric product line which covers fingerprint (VeriFinger), face (VeriLook), eye iris (VeriEye) and voice (VeriSpeak) modalities. It is also used in solutions for large and national-scale applications in Neurotechnology's MegaMatcher Automated Biometric Identification System (ABIS) and MegaMatcher Accelerator products. 

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