FingerCell EDK Simplifies Biometric Security

FingerCell EDK Simplifies Biometric Security

San Jose, Ca.-- Neurotechnologija Ltd. has just released its FingerCell EDK, a development kit for building biometric fingerprint solution for a variety of embedded and small footprint devices, both connected and standalone.

Capable of matching 500 fingerprints per second, the company's FingerCell is aimed at a variety of personal and business security sensitive applications, from controlling access to doors, gates and computers behind which critical information and resources are located, but in a variety if net-centric iappliance applications where it is important to limit network and web access to critical corporate and organization resources.

The kit includes:

1) FingerCell fingerprint recognition software, based on the company's VeriFinger technology, which allows both verification (1:1 matching) and identification (1:N). It's algorithms are custom set for the EDK's hardware, enabling enrollment times of less than one second; the software also provides a False Rejection Rate (FRR) of 3% and False Acceptance Rate (FAR) of 0.001%.

2) the AuthenTec FingerLoc AF-S2 fingerprint sensor. Also included in the kit is an Intel StrongARM (206 MHz) processor with RS232 adapter as well as the necessary user level software

Fingerprint enrollment time is less than one second (three seconds when feature generalization is used). And in addition to its fast matching speed FingerCell has been designed to be fully tolerant to fingerprint translation and rotation, ensuring accurate matching regardless of finger position. The software does not require a fingerprint core or delta points for recognition; however, more reliable results will result if those elements are present.

FingerCell code is extremely compact, requiring only 512 KB of memory, allowing it to be fitted into a variety of embedded and small footprint iappliance applications. The software source code is provided in ANSI C, enabling easy adaptation for other processor types if desired. Complete documentation, electrical schematics, identification software libraries and more are standard with each kit.

The software is compatible with both the AuthenTec FingerLoc AF-S2 and AuthenTec EntrePad AES4000 sensors, or can be read from fingerprints from TIF and BMP format image files. A sample fingerprint database, scanned with the AuthenTec FingerLoc AF-S2 sensor is also available for free download.

FingerCell software is currently available via download for evaluation purposes from the Neurotechnologija website at www.neurotechnologija.com.