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• FingerCell 2.1 Library EDK
• FingerCell 2.1 source code EDK
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FingerCell Embedded Software Development Kit

FingerCell Embedded Development Kit (EDK) is based on the FingerCell embedded fingerprint recognition algorithm that is especially designed to be used in embedded low-power and comparably low-CPU-power applications. FingerCell EDK includes libraries for various operating systems and embedded platforms (i.e. ARMM or ARCA), as well as drivers for embedded sensors and source codes for sample applications.

Customers who want to use another platform can obtain the FingerCell ANSI C source code package and port the software to the required platform.

• FingerCell 2.1 Library EDK – is intended for biometric system projects using hardware based on ARM processors. Includes FingerCell library, programming samples and documentation for Windows CE and Linux.

• FingerCell 2.1 source code EDK – is intended for large biometric system projects using third party or custom hardware. Includes FingerCell source code, samples and documentation for MS Windows CE and Linux.

The table below compares different types of FingerCell EDK:

FingerCell 2.1 Library EDK

FingerCell 2.1 Library EDK includes the FingerCell 2.1 library for developing custom products. The developed product can run on ARM-based platform under Linux or Microsoft Windows CE.

FingerCell 2.1 Library EDK contains the following components:

• MS Windows CE components:
  • FingerCell 2.1 library (for Microsoft Visual Studio 2005 with SP1)
  • Source code of FingerCell library usage sample application in Visual C++ 2005 SP1
• ARM Linux components:
  • FingerCell 2.1 library (for Arm-Linux GCC C compiler)
  • Source code of sample embedded application in ANSI C (project for Arm-Linux GCC C compiler)
  • User-space drivers for image input from Tacoma CMOS, Startek FM200 , AuthenTec AF-S2 , AuthenTec AES4000 , Biometrics CS CS Pass and Fujitsu MBF200 fingerprint sensors via USB port
• FingerCell 2.1 EDK documentation.

System requirements

• ARM-based processor:

• Minimum requirement: ARM7 processor running at 75 MHz for fingerprint verification in about 2 seconds.

• Recommended: ARM-based processor with 200 MHz CPU clock rate for fingerprint enrollment in less than 1 second (ARM processor core families: ARM9, ARM10, ARM11, StrongArm, XScale).

• At least 400 kB of memory for FingerCell code and data arrays (the recommended amount could be different, as it depends on fingerprint image size)
• Fingerprint sensor which driver is included in FingerCell 2.1 Library EDK or is available from scanner manufacturer or other sources
• ARM Linux (glibc 2.3.4 or later) or Microsoft Windows Mobile 2003 (or later) operating system

FingerCell 2.1 EDK trial

Neurotechnologija also offers FingerCell 2.1 EDK on a 30 day trial. The downloadable trial kit allows developers to explore the EDK's possibilities and to try it in real environments and real applications. FingerCell EDK includes samples for iPAQ Pocket PC h5500 and iPAQ Pocket PC hx2700 series devices with integrated fingerprint sensors.

Note: FingerCell 2.1 EDK trial requires constant Internet connection during evaluation.

FingerCell 2.1 source code EDK

FingerCell 2.1 source code EDK is intended for developers who are going to integrate fingerprint identification technology into a custom embedded device.

FingerCell 2.1 source code EDK contains the following components:

• 10,000 FingerCell 2.1 installation licenses

• FingerCell 2.1 source code:

  • Project for GCC compiler (ARM-Linux platform)

  • Project for MS Visual Studio 2005 (Pocket PC 2003 platform)

• FingerCell 2.1 Algorithm and Source Code Description

• Sample applications:

  • Project for GCC compiler (ARM-Linux platform)

  • Project for MS Visual Studio 2005 (Pocket PC 2003 platform)

• Linux user-space drivers' source codes for Tacoma CMOS, Startek FM200 , AuthenTec AF-S2 , AuthenTec AES4000, Biometrics CS CS Pass and Fujitsu MBF200 fingerprint sensors connected via USB port

• FingerCell 2.1 EDK developers' guide

System requirements

• ARM-based processor:
  
  
  • Minimum requirement: ARM7 processor running at 75 MHz for fingerprint verification in about 2 seconds.
  
  
  • Recommended: ARM-based processor with 200 MHz CPU clock rate for fingerprint enrollment in less than 1 second (ARM processor core families: ARM9, ARM10, ARM11, StrongArm, XScale).
  
  
• At least 400 kB of memory for FingerCell code and data arrays (the recommended amount could be different, as it depends on fingerprint image size)
• Fingerprint sensor which driver is included in FingerCell 2.1 source code EDK or is available from scanner manufacturer or other sources
• ARM Linux (glibc 2.3.4 or later) or Microsoft Windows Mobile 2003 (or later) operating system

Please note that FingerCell 2.1 source code EDK can be easily ported to most other platforms and processors using ANSI C compiler.

Additional products

Neurotechnologija offers Template Management and Conversion Add-on – a product for template standards support integration for systems based on VeriFinger SDK or FingerCell EDK.

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