System Requirements

• Microsoft Windows 7 / 8 / 10 / 11.
• PC or laptop with x86-64 (64-bit) compatible processors.
  • 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.
  • The CPU plugin supports inference on Intel Xeon with Intel AVX2 and AVX-512, Intel Core processors with Intel AVX2, Intel Atom Processors with Intel SSE.
• 2 GB of free RAM is recommended for general usage scenarios. It is possible to reduce RAM usage for particular scenarios. Also, additional RAM may be 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 120 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)
  • Java SE JDK 8 or newer
  • Python 3.x

• A smartphone or tablet that is running Android 5.0 (API level 21) 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 1 GB 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 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 8 (or higher)
  • AndroidStudio 4.0 IDE
  • AndroidSDK 21+ API level
  • Gradle 6.8.2 build automation system or newer
  • Android Gradle Plugin 4.1.2
  • Internet connection for activating VerFinger component licenses

• One of the following devices, running iOS 11.0 or newer:
  • iPhone 5S or newer iPhone.
  • iPad Air or newer iPad models.
• At least 1 GB 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 several fingerprint scanners under iOS platform. Also, fingerprint images in BMP, JPG, PNG or WebP 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 macOS 10.13 or newer.
  • Xcode 9.3 or newer.

• A Mac running macOS 10.13 or newer.
  • 2 GHz or better processor is recommended.
  • x86-64 (Intel) and ARM (Apple M1 family) processor architectures supported.
• 2 GB of free RAM is recommended for general usage scenarios. It is possible to reduce RAM usage for particular scenarios. Also, additional RAM may be 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 macOS 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 macOS 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 9.3 or newer
  • GNU Make 3.81 or newer (to build samples and tutorials development)
  • Java SE JDK 8 or newer

• Linux 4.9 kernel or newer is required.
• PC or laptop with x86-64 (64-bit) compatible processors.
  • 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.
  • The CPU plugin supports inference on Intel Xeon with Intel AVX2 and AVX-512, Intel Core processors with Intel AVX2, Intel Atom Processors with Intel SSE.
• 2 GB of free RAM is recommended for general usage scenarios. It is possible to reduce RAM usage for particular scenarios. Also, additional RAM may be 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 x86-64 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 2.24 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 6.3 or newer
  • GNU Make 3.81 or newer
  • Java SE JDK 8 or newer
  • Python 3.x

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 1 GB 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 several fingerprint scanners under ARM Linux platform. Also, fingerprint images in BMP, JPG, PNG or WebP 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 2.17 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 4.8 or newer
  • GNU Make 3.81 or newer
  • Java SE JDK 8 or newer