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Neurotechnology Announces MegaMatcher 2.1 SDK for Development of Large-scale AFIS and Multi-biometric Face-Fingerprint Identification Systems
Date:5/9/2008

Now Includes Live Face Detection, Enhanced Standards Support and Java

Compatibility

VILNIUS, Lithuania, May 7 /PRNewswire/ -- Neurotechnology, a provider of high-precision biometric identification technologies, today announced the availability of MegaMatcher 2.1 SDK for the development of large-scale automated fingerprint identification systems (AFIS) and multi-biometric face-fingerprint identification systems. MegaMatcher 2.1 includes a number of new features and enhancements, including live face detection functionality, improved cluster fault tolerance, support for a wider range of international standards and Java compatibility for implementation of Internet-based identification systems and easier integration into existing systems. MegaMatcher, which received full NIST MINEX certification last year, includes both fingerprint and face identification engines with a fusion algorithm that allows the two technologies to work together to provide very fast 1:N (1 to many) matching with even higher reliability than AFIS or facial recognition alone.

MegaMatcher 2.1 is optimized for use in automated biometrical identification systems for both forensic and civil applications, such as crime scene investigations, border crossings, passport and visa documentation, election control systems and even credit card transactions where the need for both fast and accurate identification is paramount. The fused face/fingerprint algorithm in MegaMatcher 2.1 can produce up to 400,000 matches per second on a single processor PC; and with enhanced fault-tolerant, scalable cluster software, MegaMatcher 2.1 can perform extremely fast, parallel fingerprint and face matching across multiple PCs using databases of practically unlimited size.

New live face detection technology in MegaMatcher 2.1 is especially useful for eliminating fraud in Web-based applications because it can verify if the face being presented in a remote client locatio
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