Neurotechnology announced the release of new VeriEye SDK that facilitates development of reliable and economical biometric Iris recognition systems. This new SDK is said to be one more addition to the company's suite of biometric identification algorithms and software development products.

 

Neurotechnology is a provider of high-precision biometric fingerprint, face and iris identification algorithms, object recognition technology and software development products. The company has expertise in the fields of neuroinformatics, image processing and pattern recognition. It is said that more than 1900 system integrators, security companies and hardware providers have integrated the company’s algorithms and software development technologies into their products and it has also released more than 40 products and version upgrades for identification and verification of objects and personal identity, says the company.

 

Neurotechnology’s VeriEye SDK is based on advanced iris recognition algorithm that can detect and even compensate for partial obstructions, irregularities and deformations in the iris shape or texture, even in cases when the eyes are gazing away thereby making the system accurate for detecting purposes.

 

It’s said that no two irises are exactly alike. The company’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 makes the system unique when compared to other iris identification systems that approximate the iris shape as a circle.

 

The iris segmentation algorithm used in VeriEye can precisely extract all visible iris texture and significantly enhance iris recognition accuracy and reliability. Iris texture is reproduced through unique features that do not change, even with varying contrast and illumination levels. 

 

SDK’s high degree of accuracy makes it suitable for a wide range of applications that are used for security, access control, time and attendance and other systems that usually require fast and reliable identification. The system takes less than a half-second to create a record of unique iris features from an un-segmented human eye image. The matching speeds when compared with other existing iris records range from 50,000 to 150,000 irises per second, depending on configuration.

 

VeriEye proved its high degree of accuracy and reliability when tested on the publicly available dataset ICE2005 Exp 1 (NIST ICE-1). The system achieved 0.11% False Rejection Rate (FRR) at a False Acceptance Rate (FAR) of 0.1%, 0.16% FRR at FAR=0.01%, and 0.33% FRR at FAR=0% at a matching speed of 50,000 iris templates per second.

 

"We are very pleased to add VeriEye SDK for iris recognition to our line of biometric fingerprint, face and object recognition technologies," said Justas Kranauskas, Neurotechnology's iris identification project lead, in the statement.

 

Kranauskas added, "Having a full suite of biometric recognition modalities allows us to provide a best-fit solution for each customer."

 

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

 

Neurotechnology's identification algorithms have been awarded with the National Institute of Standards & Technology’s (NIST) Fingerprint Vendor Technology Evaluation (FpVTE) and the International Fingerprint Verification Competitions (FVC), according to the company.