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VeriEye iris identification technology is designed for biometric systems developers and integrators. The technology includes many proprietary solutions that enable robust iris enrollment under various conditions and fast iris matching in 1-to-1 and 1-to-many modes.

Available as a software development kit that allows development of stand-alone and Web-based solutions on Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.

Technology and SDK

Features and Capabilities
Neurotechnology began research and development in the field of eye iris biometrics in 1994 and has released VeriEye iris recognition algorithm in 2008. The original proprietary algorithm solves the limitations and drawbacks of existing state-of-the-art algorithms. VeriEye implements advanced iris segmentation, enrollment and matching using robust digital image processing algorithms. Read More

Technology awards
VeriEye iris identification technology performance and reliability was proven in several NIST-organized competitions and technology evaluations. Read More

SDK contents
VeriEye SDK is based on VeriEye iris recognition technology and is intended for biometric systems developers and integrators. The SDK allows rapid development of biometric applications using functionality from the VeriEye algorithm that ensures relable fast iris identification. VeriEye can be easily integrated into the customer's security system. The integrator has complete control over SDK data input and output. Read More

Iris components
VeriEye SDK includes the following biometric components for eye image capture, iris template extraction and matching, as well as biometric standards and specific image format support. Read More

Supported iris scanners
The table below explains which eye iris scanners are supported by VeriEye SDK under different operating systems. Read More

System requirements
There are specific requirements for each platform which will run VeriEye-based applications.
Click on specific platform to view the corresponding requirements. Read More

Technical specifications
64 pixels is the minimal radius of circle containing full iris texture, that is required for iris template extraction. Near-infrared spectral region is recommended for iris image capture. Read More

Reliability tests
We present the testing results to show VeriEye 10.0 template matching algorithm reliability evaluations. Iris images from several standard datasets were used for testing, thus the testing results can be compared with testing results of other algorithms. All datasets contained iris images with 640 x 480 pixels size. Read More

Licensing and Pricing

Licensing model
The following licensing model is intended for end-user product developers. Integrators who want to develop and sell a VeriEye-based development tool (with API, programming possibilities, programming samples, etc.), must obtain permission from Neurotechnology and sign a special VAR agreement. Read More

Quantity discounts do not accumulate over time. Read More

Related products
MegaMatcher SDK is for development of AFIS or multi-biometric iris, fingerprint, face and voice identification products. Read More


Brochure (PDF)

Demo Application

30-day SDK Trial


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