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Bangladesh Voter Registration Project Now
Using MegaMatcher Biometric Technology to Detect and Prevent Duplicate
Registrations. Read Press Release and Case Study.
Multi-biometric Face and Fingerprint
Identification from Neurotechnology Helps Ensure Accuracy for Upcoming
Elections
Vilnius, Lithuania – December 2, 2008 – Neurotechnology, 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© system uses MegaMatcher
Client to generate templates from face and fingerprint images that were captured
with a BIO-Key® 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: 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 International 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. For more information,
visit: www.neurotechnology.com
Media Contact
Jennifer Allen Newton
Bluehouse Consulting Group,
Inc.
+1-503-805-7540
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