VeriFinger SDK

Fingerprint identification for stand-alone or Web solutions

VeriFinger is a fingerprint identification technology designed for biometric systems developers and integrators. The technology assures system performance with fast, reliable fingerprint 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.

System Requirements

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

Microsoft Windows platform requirements

  • Microsoft Windows 7 / 8 / 10.
  • PC or laptop with x86-64 (64-bit) compatible processors.
    • 2 GHz or better processor is recommended.
    • x86 (32-bit) processors can still be used, but the algorithm will not provide the specified performance.
    • AVX2 support is highly recommended. Processors that do not support AVX2 will still run the VeriFinger algorithms, but in a mode, which will not provide the specified performance. Most modern processors support this instruction set, but please check if a particular processor model supports it.
  • At least 512 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.
  • Fingerprint reader. VeriFinger SDK includes support modules for more than 150 fingerprint scanners under Microsoft Windows platform. Integrators can also write plug-ins to support their fingerprint readers using the plug-in framework provided with the Device Manager from the VeriFinger SDK.
  • Database engine or connection with it. VeriFinger templates can be saved into any DB (including files) supporting binary data saving. VeriFinger Extended SDK contains the following support modules for Matching Server on Microsoft Windows platform:
    • Microsoft SQL Server;
    • MySQL;
    • Oracle;
    • PostgreSQL;
    • SQLite.
  • Network/LAN connection (TCP/IP) for client/server applications. Also, network connection is required for using Matching server component (included in VeriFinger Extended SDK). VeriFinger SDK does not provide communication encryption with the Matching server, therefore, integrators should secure the communication by themselves.
  • Microsoft .NET framework 4.5 or newer (for .NET components usage).
  • One of following development environments for application development:
    • Microsoft Visual Studio 2012 or newer (for application development under C/C++, C#, Visual Basic .Net)
    • Sun Java 1.7 SDK or later

Android platform requirements

  • A smartphone or tablet that is running Android 4.4 (API level 19) OS or newer.
    • If you have a custom Android-based device or development board, contact us to find out if it is supported.
  • ARM-based 1.5 GHz processor recommended for fingerprint processing in the specified time. Slower processors may be also used, but the fingerprint processing will take longer time.
  • At least 256 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.
  • Free storage space (built-in flash or external memory card):
    • 30 MB required for mobile fingerprint components deployment for each separate application.
    • Additional space would be required if an application needs to store original fingerprint images. VeriFinger does not require the original fingerprint image to be stored for the matching; only the templates need to be stored.
  • Fingerprint reader. VeriFinger SDK includes support modules for a number of fingerprint scanners under Android platform. Integrators can also write plug-ins to support their fingerprint readers using the plug-in framework provided with the Device Manager from the VeriFinger SDK.
  • Network/LAN connection (TCP/IP) for client/server applications. Also, network connection is required for using Matching server component (included in VeriFinger Extended SDK). VeriFinger SDK does not provide communication encryption with the Matching server, therefore, integrators should secure the communication by themselves.
  • PC-side development environment requirements:
    • Java SE JDK 6 (or higher)
    • Eclipse Indigo (3.7) IDE
    • Android development environment (at least API level 19 required)
    • Gradle 4.6 build automation system or newer
    • Internet connection for activating VerFinger component licenses

iOS platform requirements

  • One of the following devices, running iOS 8.0 or newer:
    • iPhone 5S or newer iPhone.
    • iPad 2 or newer iPad, including iPad Mini and iPad Air models.
  • At least 256 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.
  • Free storage space (built-in flash or external memory card):
    • 30 MB required for mobile fingerprint components deployment for each separate application.
    • Additional space would be required if an application needs to store original fingerprint images. VeriFinger does not require the original fingerprint image to be stored for the matching; only the templates need to be stored.
  • Fingerprint reader. VeriFinger SDK includes support modules for several fingerprint scanners under iOS platform. Also, fingerprint images in BMP, JPG or PNG formats can be processed thus almost any third-party fingerprint capturing hardware can be used with the VeriFinger technology if it generates images in the mentioned formats.
  • Network/LAN connection (TCP/IP) for client/server applications. Also, network connection is required for using Matching server component (included in VeriFinger 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.
  • Development environment requirements:
    • a Mac running Mac OS X 10.10.x or newer.
    • Xcode 6.4 or newer.

Mac OS X platform requirements

  • A Mac running Mac OS X 10.7.x or newer.
    • 2 GHz or better processor is recommended.
    • AVX2 support is highly recommended. Processors that do not support AVX2 will still run the VeriFinger algorithms, but in a mode, which will not provide the specified performance. Most modern processors support this instruction set, but please check if a particular processor model supports it.
  • At least 512 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.
  • Fingerprint reader. VeriFinger SDK includes support modules for a number of fingerprint scanners under Mac OS X platform. Integrators can also write plug-ins to support their fingerprint readers using the plug-in framework provided with the Device Manager from the VeriFinger SDK.
  • Database engine or connection with it. VeriFinger templates can be saved into any DB (including files) supporting binary data saving. VeriFinger Extended SDK contains SQLite support modules for Matching Server on Mac OS X platform.
  • Network/LAN connection (TCP/IP) for client/server applications. Also, network connection is required for using Matching server component (included in VeriFinger Extended SDK). VeriFinger SDK does not provide communication encryption with the Matching server, therefore, integrators should secure the communication by themselves.
  • Specific requirements for application development:
    • XCode 4.3 or newer
    • GNU Make 3.81 or newer (to build samples and tutorials development)
    • Sun Java 1.7 SDK or later

Linux x86-64 platform requirements

  • Linux 2.6 or newer kernel is required. Linux 3.0 kernel or newer is recommended.
  • PC or laptop with x86-64 (64-bit) compatible processors.
    • 2 GHz or better processor is recommended.
    • x86 (32-bit) processors can still be used, but the algorithm will not provide the specified performance.
    • AVX2 support is highly recommended. Processors that do not support AVX2 will still run the VeriFinger algorithms, but in a mode, which will not provide the specified performance. Most modern processors support this instruction set, but please check if a particular processor model supports it.
  • At least 512 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.
  • Fingerprint reader. VeriFinger SDK includes support modules for a number of fingerprint scanners under Linux x86/x86-64 platform. Integrators can also write plug-ins to support their fingerprint readers using the plug-in framework provided with the Device Manager from the VeriFinger SDK.
  • glibc 2.13 library or newer
  • Database engine or connection with it. VeriFinger templates can be saved into any DB (including files) supporting binary data saving. VeriFinger Extended SDK contains the following support modules for Matching Server on Linux platform:
    • MySQL;
    • Oracle;
    • PostgreSQL;
    • SQLite.
  • Network/LAN connection (TCP/IP) for client/server applications. Also, network connection is required for using Matching server component (included in VeriFinger Extended SDK). VeriFinger SDK does not provide communication encryption with the Matching server, therefore, integrators should secure the communication by themselves.
  • Specific requirements for application development:
    • GCC-4.4.x or newer
    • GNU Make 3.81 or newer
    • Sun Java 1.7 SDK or later
    • pkg-config-0.21 or newer (optional; only for Matching Server database support modules compilation)

ARM Linux platform requirements

We recommend to contact us and report the specifications of a target device to find out if it will be suitable for running VeriFinger-based applications.

There is a list of common requirements for ARM Linux platform:

  • A device with ARM-based processor, running Linux 3.2 kernel or newer.
  • ARM-based 1.5 GHz processor recommended for fingerprint processing in the specified time.
    • ARMHF architecture (EABI 32-bit hard-float ARMv7) is required.
    • Lower clock-rate processors may be also used, but the fingerprint processing will take longer time.
  • At least 256 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.
  • Free storage space (built-in flash or external memory card):
    • 100 MB required for VeriFinger components deployment.
    • Additional space would be required in these cases:
      • An application needs to store original fingerprint images. Note that VeriFinger does not require the original images to be stored for the matching; only the templates need to be stored.
      • Usually a database engine runs on a separate computer (back-end server). However, a DB engine can be installed on the same device for standalone applications. For example, 1,000 templates (each with 2 fingerprints inside) stored using a relational database would require about 3 MB of free storage space.
        PostgreSQL, MySQL and SQLite are supported on ARM-Linux. Please refer to hardware requirements from the corresponding database engine providers.
  • Fingerprint reader. VeriFinger SDK includes support modules for several fingerprint scanners under ARM Linux platform. Also, fingerprint images in BMP, JPG or PNG formats can be processed thus almost any third-party fingerprint capturing hardware can be used with the VeriFinger technology if it generates images in the mentioned formats.
  • glibc 2.13 or newer.
  • libstdc++-v3 4.7.2 or newer.
  • Network/LAN connection (TCP/IP) for client/server applications. Also, network connection is required for using Matching server component (included in VeriFinger Extended SDK). VeriFinger SDK does not provide communication encryption with the Matching server, therefore, integrators should secure the communication by themselves.
  • Development environment specific requirements:
    • GCC-4.4.x or newer
    • GNU Make 3.81 or newer
    • JDK 1.7 or later
Neurotechnology Distributors Map Ex-Cle S.A - representative in Argentina FingerSec do Brasil - distributor in Brazil (web site in Portuguese) Distributors in Chile Neurotechnology's Chinese Office (web site in Chinese) Security Systems Ltda - distributor in Colombia (web site in Spanish) Data6terms - distributor in Congo D.R. General Security El Salvador - distributor in El Salvador (web site in Spanish) Infokey Software Solutions - distributor in Greece (web site in Greek and English) Fulcrum Biometrics India Pvt. Ltd. - distributor in India Unifyia Solutions India Pvt. Ltd. - distributor in India Biometric srl - distributor in Italy (web site in Italian) Software Sources Ltd - distributor in Israel Tegara Corporation - distributor in Japan (web site in Japanese) Bruce and Brian Co., LTD. - distributor in Korea (web site in Korean) Biosec Solutions - distributor in Nigeria Digital Data Systems - distributor in Pakistan Ex-Cle S.A - distributor in Paraguay Digital Works - distributor in Peru Fingerprint i.t. - distributor in South Africa Intuate Biometrics - distributor in Spain (web site in Spanish) Sri Lanka Division - Neurotechnology Lab Delaney Biometrics - distributor in the UK Fulcrum Biometrics - representative in the USA Unifyia, Inc - distributor in the USA Distributors in Venezuela
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