FingerCell Embedded Development Kit
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Overview
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 ARM Linux and ARM Windows CE embedded platforms, 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.
The following types of FingerCell 2.1 EDK are available:
- 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:
| Supported platforms |
Library EDK |
Source code EDK |
| ARM, Windows CE |
+ |
+ |
| ARM, Linux |
+ |
+ |
| FingerCell algorithm components |
| • FingerCell 2.1 algorithm |
+ |
+ |
| • FingerCell 2.1 algorithm source code |
|
+ |
| Image input drivers (for Linux) |
| • Tacoma CMOS scanner driver |
+ |
+ |
| • Startek FM200 scanner driver |
+ |
+ |
| • Biometri-CS CS-Pass sensor driver |
+ |
+ |
| • AuthenTec AF-S2 sensor driver |
+ |
+ |
| • AuthenTec AES4000 sensor driver |
+ |
+ |
| • Fujitsu MBF200 scanner driver |
+ |
+ |
| FingerCell programming samples |
| • FingerCell EDK sample application |
+ |
+ |
| Documentation |
| • FingerCell EDK documentation |
+ |
+ |
| • FingerCell source code documentation |
|
+ |
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 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
Neurotechnology 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.
A FingerCell 2.1 algorithm demo application for PCs is also available for downloading.
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,
Biometri-CS CS-Pass,
AuthenTec AF-S2,
AuthenTec AES4000 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
Neurotechnology 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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