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Embedded fingerprint recognition summaryContent of this page:OverviewFingerprint identification systems have been usually developed on PC platform, although some tasks required a compact solution. Nowadays various embedded and handheld mobile devices offer enough capabilities to integrate biometrical recognition software into them. The hardware part of an embedded system is mostly a stand-alone device that contains processor, memory, fingerprint scanner and some output display. This part can be developed according to project's specifics, or a ready-to-use device can be obtained. There is no need to start a sophisticated and costly fingerprint recognition technology development, as it can be licensed for a reasonable price. Additionally, there are technologies optimized for the capabilities of embedded or mobile devices. Neurotechnology offers the embedded fingerprint identification technology that is suitable to develop a fast and reliable system on embedded or mobile platform. The technologyFingerCell 2.1 technology is compact, sensor-independent and cross-platform. It offers decent reliability and identification speed for various mobile or embedded devices. The FingerCell algorithm includes these proprietary solutions:
Read more about the technology. The EDK (Embedded Development Kit)FingerCell EDK is based on the FingerCell technology, and is intended for embedded biometric systems developers and integrators. The EDK includes libraries for major operating systems and embedded platforms, drivers for embedded sensors and source codes for sample applications. The FingerCell ANSI C source code package could be also obtained to port the software to another platforms. The following types of EDK are available:
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