Neurotechnology, a provider of high-precision biometric fingerprint, face and iris identification algorithms, object recognition technology and software development products announced that their VeriEye iris identification technology is intended for biometric systems developers and integrators. The technology includes many proprietary solutions that enable robust eye iris enrollment under various conditions and fast iris matching in 1-to-1 and “1-to-many” modes.

 

NIST Iris Exchange Evaluation has reportedly tested this state of the art of algorithm and has judged VeriEye 2.1 as one of the most reliable iris recognition technology. VeriEye is also ranked one among the top three for accuracy and, of the top three, the fastest matching algorithm by a wide margin.

 

Justas Kranauskas, VeriEye project lead for Neurotechnology has stated that they are pleased with their product’s performance in IREX and VeriEye which has been commercially available for more than one year has yielded excellent results in these tests. NIST has evaluated their product as one among the most accurate as well as among the lowest in computational costs and that speaks to the quality of the product and surety it offers to customers.

 

NIST had judged 18state-of-the-art algorithms from 10 different providers and found that Neurotechnology offered the fastest overall iris matching algorithm – 25 to 75 times faster than other top ranked competitors – while utilizing an iris template that is 3.5 to 7.5 times smaller than those same competitors’ templates.

 

Neurotechnology has claimed that unlike some iris identification systems that approximate the iris shape as a circle, their new iris segmentation algorithm can detect the boundaries of irises that are not perfectly circular, are partly occluded by eyelids or eyelashes or deformed in shape because the eye is looking away from the image capture device. VeriEye can accurately extract all visible iris textures and significantly enhance iris recognition accuracy and reliability.

 

Also VeriEye 2.1 iris recognition algorithm supports ANSI INCITS 379-2004 – American National Standard for Information Technology - Iris Image Interchange Format – and ISO/IEC (News - Alert) 19794-6 standards.

 

Neurotechnology recently unveiled MegaMatcher Accelerator and released Multiple Biometric ID SDKs.