Press Release
New MegaMatcher Accelerator Boosts Speed for High-Volume Biometric Identification and Database Duplicate Searching
Combined Software/Hardware Solution Matches More Than 10 Million Fingerprints per Second
Vilnius, Lithuania – February 23, 2009 – Neurotechnology, a provider of high-precision biometric identification technologies, is now offering MegaMatcher Accelerator, a packaged hardware and software solution for extremely fast 1-to-many (1:N) biometric fingerprint and face matching for high-volume/high-speed applications such as database duplicate searches. MegaMatcher Accelerator includes MegaMatcher multi-biometric identification technology and HP ProLiant DL server hardware that work together to provide one of the fastest matching engines available. The solution matches biometric information that may include up to 10 fingerprint templates and a face template for each individual. With fingerprint matching speeds exceeding 10 million fingerprints per second, one MegaMatcher Accelerator can replace 1000 MegaMatcher 2.1 server nodes for fingerprint matching and 25 nodes when fingerprint and face multi-biometrics are used. A single MegaMatcher Accelerator unit can manage and process up to 20 million fingerprints. If additional speed or capacity is required, multiple MegaMatcher Accelerator units can be combined.
"Matching speed is a critical factor for many large-scale biometric applications, such as duplicate searches in voter databases and border control, among others," said Dr. Algimantas Malickas, CEO of Neurotechnology. "MegaMatcher Accelerator provides a radical increase in matching speed, enabling implementation of applications that were difficult or even impossible to implement before."
Neurotechnology is also offering a new database duplicate search service using MegaMatcher Accelerator technology. Duplicate searches will be performed based on customer-collected biometric fingerprint and facial data; and a comprehensive, confidential report of all detected duplicates will be provided.
MegaMatcher is used worldwide for both civil and forensic applications, including border crossings, passport and visa documentation, election control systems, criminal investigations and duplicate searches in large-scale government and commercial databases. The MegaMatcher fingerprint recognition algorithm has received full NIST MINEX certification for use in US Government Personal Identity Verification program fingerprint recognition applications and it supports BioAPI 2.0 and most other biometric industry standards.
MegaMatcher Accelerator is available through Neurotechnology or from distributors worldwide. For more information, go to: www.neurotechnology.com.
About Neurotechnology
Neurotechnology is a provider of high-precision biometric fingerprint, face and iris identification algorithms, object recognition technology and software development products. More than 2,000 system integrators, security companies and hardware providers in 98 countries integrate Neurotechnology's algorithms and software development technologies into their own products, with millions of customer installations worldwide.
Neurotechnology's identification algorithms have consistently earned the highest honors in some of the industry's most rigorous competitions, including the National Institute of Standards & Technology (NIST)'s Fingerprint Vendor Technology Evaluation (FpVTE) and the Fingerprint Verification Competitions (FVC).
Drawing from years of academic research in the fields of neuroinformatics, image processing and pattern recognition, Neurotechnology was founded in 1990 in Vilnius, Lithuania under the name Neurotechnologija and released its first fingerprint identification system in 1991. Since that time the company has released more than 40 products and version upgrades for identification and verification of objects and personal identity. On April 14, 2008 the company announced an official name change to Neurotechnology.
Media Contact
Jennifer Allen Newton
Bluehouse Consulting Group, Inc.
+1-503-805-7540
jennifer (at) bluehousecg.com
