Neurotechnology tops FVC-onGoing biometric test results with fingerprint recognition tech
FVC-onGoing was established in 2009 by the Biometric System Laboratory team at the University of Bologna in Italy. The FV-STD-1.0 benchmark includes images collected with high-quality optical scanners and challenging detection cases such as noisy images and distorted impressions.
Included in Neurotechnology’s MegaMatcher SDK, the technology was tested according to 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, in a prepared statement. “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.”
In 2019, Neurotechnology’s palm print matching algorithm topped FVC-onGoing testing.
Neurotechnology’s fingerprint algorithm is part of its MegaMatcher multibiometric product line, which includes fingerprint (VeriFinger), face (VeriLook), eye iris (VeriEye) and voice (VeriSpeak) modalities. It has been embedded in applications in Neurotechnology’s MegaMatcher Automated Biometric Identification System (ABIS) and MegaMatcher Accelerator products.
MegaMatcher SDKs and Neurotechnology’s biometric product line are available for a free 30-day trial.