VeriEye SDK - Iris identification for PC and Web solutions

NT_VE_24_SDK_STD

Made by Neurotechnology

Neurotechnology provides algorithms and software development products for biometric fingerprint, face, iris, voice and palm print recognition, computer-based vision and object recognition to security companies, system integrators and hardware manufacturers. More than 2,500 system integrators and sensor providers in more that 100 countries license and integrate company's technology into their own products. With millions of customer installations worldwide, Neurotechnology's products are used for both civil and forensic applications, including border crossings, criminal investigations, systems for voter registration, verification and duplication checking, passport issuance and other national-scale projects.

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Code	Options	Ex VAT	Inc VAT
NT_VE_24_SDK_EXT	SDK Type:Extended SDK	£1,271.81	£1,526.17	Qty:
NT_VE_24_SDK_STD	SDK Type:Standard SDK	£535.45	£642.54	Qty:

Description

VeriEye iris identification technology is intended 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. VeriEye is available as a software development kit that allows development of PC- and Web-based solutions on Microsoft Windows, Linux and Mac OS X platforms. Download VeriEye SDK brochure (PDF)

Advantages of VeriEye

Rapid and accurate iris identification, proven by NIST IREX.
Robust recognition, even with gazing-away eyes or narrowed eyelids.
Original proprietary algorithm solves the limitations and drawbacks of existing state-of-the-art algorithms.
Available as multiplatform SDK that supports multiple programming languages.
Reasonable prices, flexible licensing and free customer support.

Technology and SDK

VeriEye algorithm features and capabilities. VeriEye algorithm implements advanced iris segmentation, enrollment and matching using robust digital image processing algorithms. The algorithm is able to detect irises under various difficult conditions, like visual noise, lightning reflections or obstructions in eye images. Gazing-away eyes and eyes with narrowed eyelids are accepted. Read more
VeriEye Standard and Extended SDK. The Standard SDK is intended for PC-based biometric application development and the Extended SDK is suitable for developing Web-based biometric systems. Read more
Supported iris scanners. VeriEye SDK supports a number of iris scanners and multi-modal devices. Read more
System requirements. Components of VeriEye SDK can be run on computers with x86 compatible processors (at least 2 GHz processor recommended). Windows, Linux and Mac OS X platforms are supported. Read more
Technical specifications. VeriEye matches up to 720,000 irises per second, enrolls an iris in 0.17 seconds and requires 2.2 kilobytes for an iris template in a database. Read more
Reliability and performance test results. VeriEye has been tested with iris images from standard databases.

VeriEye brochure, algorithm demo application and VeriEye 30-day SDK trial are available for downloading.

Licensing

Licensing options - Download VeriEye SDK brochure (PDF)

To develop a VeriEye-based product, an integrator should obtain VeriEye 2.4 Standard SDK or Extended SDK. A license for a VeriEye component is required for each PC or each server CPU that runs this component. Single computer licenses, concurrent network licenses and enterprise licenses are available.

Supported Hardware

Download VeriEye SDK brochure (PDF)

VeriEye related products

MegaMatcher SDK – intended for development of AFIS or multi-biometric iris, fingerprint, face and voice identification products.

MegaMatcher Accelerator 4.0 – a solution for building the server-side of a large-scale multi-biometric system; available in Standard and Extended versions; a single MegaMatcher Accelerator Standard matches 50 million irises per second and the Extended matches 200 million irises per second.

MegaMatcher On Card SDK – a product for iris, fingerprint and face matching on smart cards.