The VeriEye iris recognition algorithm, created by Biometric solutions provider Neurotechnology, is a fast and accurate algorithm among over 86 algorithms by the National Institute of Standards and Technology or NIST.
Neurotechnology specializes in high-precision biometric fingerprint, face, iris, palm print and voice identification algorithms, object recognition technology and software development products. The company serves over 2500 system integrators, security companies and hardware providers.
“The IREX III evaluation confirmed that our core iris recognition technology, together with new MegaMatcher Accelerator and MegaMatcher On Card algorithms, continue to be among the most accurate algorithms,” Justas Kranauskas, VeriEye Project Lead for Neurotechnology, said in a release.
The NIST Iris Exchange (IREX) III evaluation was launched to evaluate biometric algorithms for iris recognition created by global companies. Over 4 million irises captured using various iris scanners were used in this year’s competition to find the most accurate algorithm.
The Iris Exchange IREX III evaluation tests the accuracy and speed of iris identification algorithms to find their suitability for large-scale identification applications. Over 6.1 million images of 4.3 million eyes were used to study if the technologies were suitable for applications such as de-duplication, benefits fraud and token-less access and border control.
VeriEye Algorithm from Neurotechnology was placed among the top four providers as the fastest algorithm at a particular accuracy level. It was also recognized as the second fastest algorithm overall in the evaluation, which included several iris recognition technologies.
Besides being highly accurate Neurotechnology’s algorithms were designed to match irises at a very high speed of over 8 million irises per second on a single CPU core. The algorithm from Neurotechnology was found to lag behind only one other algorithm delivered a three times higher False Negative Identification Rate (FNIR) or “miss rate.”
According to Neurotechnology, algorithms that were submitted encompassed VeriEye at low, medium and high speeds, MegaMatcher On Card and MegaMatcher Accelerator iris matching algorithms.
The company recently released the latest versions of its Software Development Kits (SDK) for biometric fingerprint, face, iris and voice identification and object recognition. It also announced new embedded versions of VeriFinger, VeriLook and MegaMatcher besides VeriEye Embedded for iris, VeriSpeak Embedded for voice and SentiSight Embedded object recognition technologies for use in smartphones and other mobile devices.
Edited by Braden Becker