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Home Development Components & Libraries FingerCell Standard EDK (Linux Demo) Download

FingerCell Standard EDK (Linux Demo)

March 30, 2021
This software kit aids in developing biometric systems for embedded devices and PCs using third-party hardware. It includes the FingerCell library, drivers for image input from fingerprint sensors, sample applications, and documentation. The package comes with 2 licenses, one for PC and the other for the embedded device.
FingerCell Standard EDK (Linux Demo)
FingerCell Standard EDK (Linux Demo) Screenshot
Version 1.2
License Demo $469
Platform Linux
Supported Languages English
Homepage www.neurotechnologija.com
Developed by Neurotechnologija
FingerCell 1.2 Standard EDK is a biometric software solution that has been developed specifically for embedded system developers. With the capability to integrate FingerCell algorithm into various hardware from handheld devices to PC-based servers, this EDK offers unparalleled flexibility to developers. Additionally, it supports multiple software platforms, allowing for the development of both stand-alone and complex solutions.

The FingerCell 1.2 Standard EDK comprises several key components, including two FingerCell 1.2 library licenses (one for PC platform and one for ARM-based device), LAN License Manager, MS Windows drivers for image input from Tacoma CMOS, Startek FM200, AuthenTec AF-S2 and AuthenTec AES4000 fingerprint sensors via USB port, and Linux user-space drivers for image input from Tacoma CMOS, Startek FM200, AuthenTec AF-S2, AuthenTec AES4000, and Fujitsu MBF200 fingerprint sensors via USB port. The software also includes source codes for library and EDK usage sample applications, and documentation.

Whether you're developing a small-scale project or a large-scale solution, FingerCell 1.2 Standard EDK offers the flexibility and versatility that you need to succeed. To learn more about the software or to inquire about licensing, visit our website or contact us directly.
What's New

Version 1.2: Improved reliability, smaller template size and 50% faster matching

Version 3.0: Completely new algorithm for running on low-power microcontrollers or processors

Version 2.1: Lower memory and CPU speed requirements

demo Windows security Win32 pc crime scan recognition authentication evaluation matching verification identification fingerprint biometric ridge embedded
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