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Bangladesh Voter Registration Project Now Using MegaMatcher Biometric Technology to Detect and Prevent Duplicate Registrations
Tuesday, December 02, 2008
Multi-biometric Face and Fingerprint Identification from Neurotechnology Helps Ensure Accuracy for Upcoming Elections
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 and MegaMatcher Cluster Server are
used to search the database and identify duplicate records. Bangladesh runs
MegaMatcher on Microsoft Windows XP and Microsoft Windows Server with
Microsoft SQL Server as the back end database.
MegaMatcher provides the high speed and reliability required for the
development of national-scale automated fingerprint identification systems
(AFIS) and multi-biometric face/fingerprint identification systems. Suitable
for both civil and forensic use, MegaMatcher 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.
The MegaMatcher fingerprint recognition algorithm has received full NIST
MINEX certification for use in the US Government Personal Identity
Verification program fingerprint recognition applications. MegaMatcher
supports BioAPI 2.0 and most other biometric industry standards and can be
used in conjunction with other Neurotechnology products, including VeriFinger,
VeriLook and the FaceCell and FingerCell embedded development kits. All
components of MegaMatcher can be used on both Microsoft Windows and Linux
operating systems.
MegaMatcher 2.1 SDK is available with highly competitive licensing options
through Neurotechnology or from distributors worldwide. A 30-day trial version
with full functionality is also available for download. For more information,
go to: http://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 1900 system integrators, security
companies and hardware providers 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
SOURCE Neurotechnology
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