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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

n is a live person as opposed to a previously captured image.

"The demand for large-scale and Internet-based identification applications is growing, and with this update to MegaMatcher we're making it easier for our customers to develop these types of systems using our most powerful and scaleable biometric identification algorithms," said Algimantas Malickas, CEO of Neurotechnology.

The MegaMatcher fingerprint algorithm is tolerant to fingerprint translation, rotation and deformation and has the ability to match between rolled and flat fingerprints. When multiple fingerprints have been scanned at the same time, the fingerprint segmentation functionality in MegaMatcher can automatically segment them into separate fingerprints. And for forensic applications, MegaMatcher 2.1 includes an API for the editing of latent fingerprint templates, such as those collected from crime scenes.

MegaMatcher 2.1 includes enhanced fault tolerance functionality when the system is used in a cluster. If a cluster node faults, MegaMatcher 2.1 automatically passes the content to other nodes, without requiring re- initialization. This virtually eliminates down-time due to node failures, makes the system more reliable and helps to ensure non-stop processing.

MegaMatcher 2.1 supports all of the standards implemented in previous versions of MegaMatcher, including WSQ, ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange); ANSI/NIST-ITL 1-2000 (Data Format for the Interchange of Fingerprint, Facial, & Scar Mark & Tattoo (SMT) Information) and ISO/IEC 19794-2 (Fingerprint minutiae data). In addition, MegaMatcher 2.1 adds support for additional standards, including:
-- BioAPI 2.0 (ISO/IEC 1978-1:2006) Framework and Biometric Service

Providers (BSP) for face and fingerprint identification engines

-- ISO/IEC 19794-4 (Information technology -- Biometric data interchange

formats -- Finger image data)

-- ISO/IEC 1979
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SOURCE Neurotechnology
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