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News

VeriEye uses fastest iris recognition matching algorithm

Neurotechnology : 30 September, 2009  (New Product)
Testing at NIST puts the iris recognition algorithm of ANSI/ISO supporting VeriEye from Neurotechnology in the top three for both accuracy and matching speed
The National Institute of Standards and Technology (NIST) has judged Neurotechnology (as the provider of one of the most reliably accurate iris recognition algorithms in a test of leading providers. The NIST Iris Exchange (IREX) Evaluation judged eighteen state-of-the-art algorithms from ten different providers and found VeriEye 2.1 to be in the top three for accuracy and, of the top three, the fastest matching algorithm by a wide margin. Neurotechnology was the only provider to achieve such high rankings in both areas. IREX testing focused on compressed image recognition and interoperable formats in an attempt to provide data standards to support data exchange, storage and "smart card" use.

"We are pleased with the performance of our VeriEye iris recognition algorithm in IREX 2008," said Justas Kranauskas, VeriEye Project Lead for Neurotechnology. "Our product has been commercially available for just over a year and showed excellent results in these tests. To be ranked by NIST among the most accurate as well as among the lowest in computational cost speaks to the quality of the product and the surety it provides our customers."

Neurotechnology had 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.

Top iris recognition algorithms provide reliable identification with a very low false acceptance rate - a major strength in iris biometrics. VeriEye 2.1 was judged among the top performers for iris recognition accuracy in the NIST IREX testing across three large scale iris databases when using either uncompressed raw or cropped/cropped-and-masked/converted-to-concentric-polar and JPEG2000 compressed iris images.

VeriEye 2.1 iris recognition algorithm supports ANSI INCITS 379-2004 (American National Standard for Information Technology - Iris Image Interchange Format) and ISO/IEC 19794-6 (Information technology - Biometric data interchange formats - Iris image data) standards.
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