VILNIUS, Lithuania, Dec. 2 /PRNewswire/ -- Neurotechnology (http://www.neurotechnology.com), a provider of biometric identification technologies, today announced that the Bangladesh Army selected MegaMatcher SDK multi-biometric technology to identify duplicate registrations in the nation's voter database. The Bangladesh Voter Registration Project registered more than 80 million citizens using biometric face and fingerprint technology. After evaluating a number of biometric technologies for their duplicate search system, the Bangladesh Army determined that MegaMatcher from Neurotechnology was able to identify more duplicate registrations with a higher degree of accuracy than any other system tested. System integrator Dohatec New Media was hired to help design and implement the MegaMatcher-based system. To date, more than 48 million voter registration records have been matched.
"Matching performed using MegaMatcher SDK could find more valid duplicate entries than any other SDK used for the same purpose," said Lt. Col. Md Mostafizur Rahman, Staff Officer Grade - 1 (Information Technology Directorate) for the Bangladesh Army. "It has enhanced the technological capabilities of our system and the cost-per-unit for the SDK is cost- effective."
"Bangladesh is a country with a large population, so the task of searching for duplicates is complicated and requires a large number of matching operations and significant reliability," said Dr. Algimantas Malickas, CEO of Neurotechnology. "I'm glad that the Bangladesh Army and system integrator Dohatec, in their implemented system, successfully explored MegaMatcher functionality for the solution to this problem."
The Dohatec Biometrics Fusion Server(C) system uses MegaMatcher Client to
generate templates from face and fingerprint images that were captured with a
BIO-Key(R) system, then MegaMatcher Server an
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