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New VeriEye SDK from Neurotechnology Enables Development of Reliable, Cost-effective Biometric Iris Recognition Systems
Date:6/10/2008

Advanced Iris Recognition Algorithm Detects and Compensates for

Irregularities and Obstructions

VILNIUS, Lithuania, June 10 /PRNewswire/ -- Neurotechnology today announced the addition of VeriEye iris recognition technology to the company's suite of biometric identification algorithms and software development products. VeriEye SDK features an advanced iris recognition algorithm that rapidly detects and compensates for partial obstructions, irregularities and deformations in the iris shape -- even when the eyes are gazing away. This provides a high degree of accuracy that makes VeriEye suitable for use in a wide range of applications for security, access control, time and attendance and other systems that require fast and reliable identification.

No two irises are exactly alike, and although they may appear to be round, no iris is perfectly circular. Unlike some iris identification systems that approximate the iris shape as a circle, Neurotechnology's 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. This enables VeriEye to more precisely extract all visible iris texture and significantly enhance iris recognition accuracy and reliability. Iris texture is modeled through unique features that remain true even with varying contrast and illumination levels. VeriEye takes less than a half-second to create a record of unique iris features from an unsegmented human eye image.

The new iris matching algorithm in VeriEye rapidly compares two sets of iris features and is similarly capable of detecting and compensating for obstructions on iris texture and in deformed "looking away" iris images. Matching speeds against existing iris records can range from 50,000 to 150,000 irises per second, depending on configuration.

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