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FINGERPRINT IDENTIFICATION FOR EMBEDDED PLATFORMS

FingerCell technology is designed for embedded biometric systems developers and features compact, sensor-independent and cross-platform fingerprint recognition algorithm. It offers decent performance on various embedded devices based on low-power microcontrollers or processors.

FingerCell is available for integrators as Software Development Kits (SDK) with FingerCell library or source code for developing a fast and reliable system on embedded or mobile platform.

Technology and SDK

Features and Capabilities
Fingerprint template extraction from an image and verification against another template can be performed in less than 0.7 seconds on a 168 MHz ARM Cortex-M4 family processor, which is acceptable for embedded systems. Read More

System Architecture
Diffferent embedded biometric projects may have specific requirements for system architecture. The components of FingerCell SDK provide interoperability with other Neurotechnology biometric SDKs or third party products and are designed for using in different scenarios. Read More

SDK contents
FingerCell 3.2 SDK is based on FingerCell 3.2 technology that is specially designed for integrating biometric fingerprint recognition into hardware with low-power, low-memory microcontrollers. The fingerprint templates created with FingerCell SDK are compatible with VeriFinger SDK, MegaMatcher SDK and MegaMatcher On Card SDK biometric technologies. Also, FingerCell SDK is compatible with third-party biometric systems, as it accepts and generates fingerprint templates in ISO/IEC 19794-2 and ANSI/INCITS 378 formats. Read More

System requirements
The requirement are provided for performing operations with 180 x 256 pixels fingerprint images at 385 ppi resolutionm or, correspondingly, 234 x 332 pixels at 500 ppi. Read More

Technical specifications
385 ppi is the minimal recommended fingerprint image resolution for FingerCell template extraction algorithm. Read More

FingerCell Demo Unit
FingerCell Demo Unit is testing hardware with pre-installed FingerCell algorithm for the technology evaluation. FingerCell Demo Unit is based on an STM Discovery evaluation board with these components.
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Licensing and pricing

Licensing Model
An integrator should obtain FingerCell 3.2 Arm Linux SDK to develop a end-user products based on FingerCell technology. The SDK needs to be purchased just once and may be used for all projects and by all the developers within the integrator's company. Read More

Prices
Quantity discounts are applied for the current order and do not accumulate over time.
Read More

Related products
VeriFinger SDK is for developing stand-alone or web-based fingerprint identification solutions on Microsoft Windows, Mac OS X, iOS, Android and Linux platforms. Fingerprint templates, which were generated with FingerCell extractor, can be used in a VeriFinger-based solution. Read More

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