Iris identification for PC and Web solutions
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.
- 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.
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.
VeriEye SDK includes the Device Manager library for working with the supported iris cameras. Integrators can also write plug-ins to support their iris cameras or other devices using the plug-in framework provided with the Device Manager.
VeriEye is available as the following SDKs:
- VeriEye (Current Version) Standard SDK is designed for PC-based, embedded or mobile biometric application development. It includes Iris Matcher and Extractor component licenses, programming samples and tutorials, iris scanner support modules and software documentation. The SDK allows the development of biometric applications for Microsoft Windows, Linux, Mac OS X, iOS or Android operating systems.
- VeriEye (Current Version) Extended SDK is designed for biometric web-based and network application development. It includes all features and components of the Standard SDK. Additionally, the SDK contains Iris Client component licenses for PCs and mobile / embedded devices, sample client applications, tutorials and a ready-to-use matching server component.
The table below compares VeriEye (Current Version) Standard SDK and VeriEye (Current Version) Extended SDK. See the licensing model for more information on specific license types.
| Component licenses included with a specific SDK | ||
|---|---|---|
| Component types | VeriEye (Current Version) Standard SDK |
VeriEye (Current Version) Extended SDK |
| • Iris Matcher | 1 single computer license | 1 single computer license |
| • Embedded Iris Matcher for Android | 1 single computer license | 1 single computer license |
| • Embedded Iris Matcher for iOS | 1 single computer license | 1 single computer license |
| • Embedded Iris Matcher for ARM Linux | 1 single computer license | 1 single computer license |
| • Iris Client (1) | 3 single computer licenses | |
| • Embedded Iris Client for Android | 3 single computer licenses | |
| • Embedded Iris Client for iOS | 3 single computer licenses | |
| • Embedded Iris Client for ARM Linux | 3 single computer licenses | |
| • Iris Extractor | 1 single computer license | 1 single computer license |
| • Embedded Iris Extractor for Android | 1 single computer license | 1 single computer license |
| • Embedded Iris Extractor for iOS | 1 single computer license | 1 single computer license |
| • Embedded Iris Extractor for ARM Linux | 1 single computer license | 1 single computer license |
| • Matching Server | ||
(1) Iris Client component includes Iris Extractor and Iris BSS components, which can be also obtained separately.
VeriEye (Current Version) SDK includes programming samples and tutorials that show how to use the components of the SDK to perform iris template extraction or matching against other templates. The samples and tutorials are available for these programming languages and platforms:
| Windows 32 & 64 bit |
Linux 32 & 64 bit |
Mac OS X | Android | iOS | |
| Programming samples | |||||
|---|---|---|---|---|---|
| • C/C | |||||
| • Objective-C | |||||
| • C# | |||||
| • Visual Basic .NET | |||||
| • Sun Java 2 | |||||
| Programming tutorials | |||||
| • C/C | |||||
| • C# | |||||
| • Visual Basic .NET | |||||
| • Sun Java 2 | |||||
Tech Specs
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.
All iris templates should be loaded into RAM before identification, thus the maximum iris template database size is limited by the amount of available RAM.
VeriEye biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware.
| VeriEye (Current Version) iris engine specifications | ||||
|---|---|---|---|---|
| Embedded / mobile (1) platform |
PC-based (2) platform |
|||
| Template extraction components | Embedded Iris Extractor |
Embedded Iris Client |
Iris Extractor |
Iris Client |
| Template extraction time (seconds) | 1.34 | 1.20 | 1.34 | 0.60 |
| Template matching components | Embedded Iris Matcher | Iris Matcher | ||
| Template matching speed (irises per second) |
3,000 | 40,000 | ||
| Single iris record size in a template (bytes) | 2,348 | |||
Notes:
(1) Requires to be run on iOS devices or Android devices based on at least Snapdragon S4 system-on-chip with Krait 300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core 2 Q9400 quad-core processor (2.67 GHz) to reach the specified performance.
