VeriEye SDK - Extended Edition

Iris identification for PC and Web solutions

Click Here to download the full VeriEye SDK brochure as a .pdf document

VeriEye iris identification technology is intended for biometric systems developers and integrators. The technology includes many proprietary solutions that enable robust eye 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.

Advantages of VeriFinger

• 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.

VeriEye Technology and SDK

• 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 or PowerPC processors (at least 2 GHz processor recommended). Windows, Linux and Mac OS X platforms are supported… Read more
• Technical specifications. VeriEye matches up to 800,000 irises per second, enrolls an iris in 0.15 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… Read more
• Download. VeriEye brochure, algorithm demo application and VeriEye 30-day SDK Trial are available for downloading.
  

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Contents of VeriEye Standard SDK and Extended SDK

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 is available as the following SDKs:

• VeriEye 2.3 Standard SDK is intended for PC-based biometric application development. It includes Iris Matcher and Extractor component licenses, programming samples and tutorials, eye iris scanner support modules and software documentation. The SDK allows the development of biometric applications for Microsoft Windows, Linux or Mac OS X operating systems.
• VeriEye 2.3 Extended SDK is intended 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, sample client applications, tutorials and a ready-to-use matching server component.

The table below compares VeriEye 2.3 Standard SDK and VeriEye 2.3 Extended SDK.

VeriEye 2.3 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:

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Supported eye iris scanners and platforms

The table below explains which iris scanners are supported by MegaMatcher 4.0 SDK and VEriEye 2.3 SDK under different versions of Microsoft Windows.

We are always looking for scanners' manufacturers to include the support for their eye iris scanners to our products. Please, contact us for more details.

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VeriEye SDK System Requirements

• PC with x86 (32bit) or x86-64 (64bit) compatible processors or Mac with x86 or PowerPC compatible processors. 2GHz or better processor is recommended.
• At least 128 MB of free RAM should be available for the application. Additional RAM is required for applications that perform 1-to-many identification, as all biometric templates need to be stored in RAM for matching. For example, 50,000 templates (each containing 2 iris records) require about 230 MB of additional RAM.
• Free space on hard disk drive (HDD):
  • at least 1 GB required for the development.
  • 100 MB required for VeriEye components deployment.
  • Additional space would be required in these cases:
    • VeriEye does not require the original face image to be stored for the matching; only the templates need to be stored. However, storing face images on hard drive for the potential future usage is recommended.
    • Usually a database engine runs on a separate computer (back-end server). However, DB engine can be installed on the same computer for standalone applications. In this case HDD space for templates storage must be available. For example, 50,000 templates (each containing 2 iris records) stored using a relational database would require about 280 MB of free HDD space. Also, the database engine itself requires HDD space for running. Please refer to HDD space requirements from the database engine providers.
• Eye iris scanner. VeriEye SDK includes support modules for several iris scanners under Microsoft Windows platform.
• Database engine or connection with it. VeriEye templates can be saved into any DB (including files) supporting binary data saving. VeriEye Extended SDK contains the following support modules for Matching Server:
  • Microsoft SQL Server (only for Microsoft Windows platform);
  • MySQL (for Microsoft Windows and Linux platforms);
  • Oracle (for Microsoft Windows and Linux platforms);
  • PostgreSQL (for Microsoft Windows and Linux platform);
  • SQLite (for all platforms).
• Network/LAN connection (TCP/IP) for client/server applications. Also, network connection is required for using Matching server component (included in VeriEye Extended SDK). Communication with Matching server is not encrypted therefore, if communication must be secured, a dedicated network (not accessible outside the system) or a secured network (such as VPN; VPN must be configured using operating system or third party tools) is recommended.
• Microsoft Windows specific requirements:
  • Microsoft Windows 2000/XP/2003/2008/Vista/7, 32-bit or 64-bit. 32-bit platform is recommended for applications with iris scanners, as the supported scanners have only 32-bit support modules.
  • Microsoft .NET framework 2.0 or newer (for .NET components usage).
  • One of following development environments for application development:
    • Microsoft Visual Studio 2005 SP1 or newer (for application development under C/C++, C#, Visual Basic .Net)
    • Sun Java 1.5 SDK or later
    • Microsoft Visual Basic 6
    • Delphi 7
• Linux specific requirements:
  • Linux 2.6 or newer kernel, 32-bit or 64-bit.
  • glibc 2.3.6 or newer
  • GTK+ 2.10.x or newer libs and dev packages (to run SDK samples and applications based on them)
  • GCC-4.0.x or newer (for application development)
  • GNU Make 3.81 or newer (for application development)
  • Sun Java 1.5 SDK or later (for application development with Java)
  • pkg-config-0.21 or newer (optional; only for Matching Server database support modules compilation)
• Mac OS X specific requirements:
  • Mac OS X (version 10.4 or newer)
  • XCode 2.4 or newer (for application development)

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Technical Specifications

All specifications are given for Intel Core2 processor with 4 cores running at 2.66 GHz

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 iris template matching algorithm can use more than one processor core on multi-core processors allowing to increase template matching speed. The template matching speeds in the table below are given as a range, where the smaller number means matching speed using 1 processor core, while the larger number means matching speed using all 4 processor cores.

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Reliability and Performance Test Results

All tests were performed on Intel Core2 processor with 4 cores running at 2.66 GHz.

We present the testing results to show how VeriEye 2.3 technical specifications correspond the practical algorithm's performance and reliability evaluations. Iris images from several standard databases were used for testing, thus the testing results can be compared with testing results of other algorithms. All databases contained iris images with 640 x 480 pixels size.

(1) The full IRISDB1600 database contains 31,997 images (image size 1280x960 pixels), representing 799 unique persons and 1,598 unique irises. A subset used in this test was preprocessed similar to NIST IREX experiments:
    (a) Images were downsampled to 640x480 via 2x2 neighborhood averaging.
    (b) All images containing irises with diameters larger than 340 pixels were removed.

Two tests were performed with each database:

• Test 1 maximized matching accuracy. VeriEye 2.3 algorithm reliability in this test is shown as blue curves on the ROC charts.
• Test 2 maximized matching speed. VeriEye 2.3 algorithm reliability in this test is shown as red curves on the ROC charts.

The iris rotation tolerance was set to ± 15° in all tests.

Template matching was performed using all 4 cores of the processor.

Receiver operation characteristics (ROC) curves are usually used to demonstrate the recognition quality of an algorithm. ROC curves show the dependence of false rejection rate (FRR) on the false acceptance rate (FAR).

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