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MegaMatcher
technology is intended for large-scale AFIS and multi-biometric systems
developers. The technology ensures high reliability and speed of biometric
identification even when using large databases.
MegaMatcher is
available as a software development kit that allows development of large-scale
fingerprint, face or multi-biometric face-fingerprint and optionally iris identification products
for Microsoft Windows and Linux platforms. Iris and palm print template extraction and
matching engines are available as add-ons for the SDK.
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• Proven in
national-scale projects, including passport issuance and border control. • NIST MINEX-compliant fingerprint engine. • 10 million
fingerprints per second can be matched using MegaMatcher Accelerator. • Fused
face-fingerprint and optionally iris and/or palm print matching algorithm can be used for higher reliability. • Rolled, flat and
latent fingerprint matching. • BioAPI 2.0 and
other ANSI and ISO biometric standards support. • Multiplatform,
scalable cluster architecture for parallel matching. • Effective
price/performance ratio, flexible licensing and free customer support.
• 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.
Read the case
study (PDF).
• Indonesia distributed passport issuance
system with a centralized biometric matching component based on MegaMatcher
technology. Read case
study (PDF) or press
release.
• El Salvador's National Passport System – the nationwide
multi-biometric passport and immigration system based on MegaMatcher
multi-biometric technology. Read the case study
(PDF).
• More case studies
and Solution Partners references are available.
• Requirements for
large-scale biometric systems. Large-scale automatic biometric identification
systems have a number of special requirements which are different from those of
small- or medium-scale biometric systems. These requirements include system
reliability, productivity, scalability, etc¡¦ Read
more
• MegaMatcher
algorithm features and capabilities. MegaMatcher includes facial and
fingerprint recognition engines and allows to use the new fused
face-fingerprint algorithm for fast and reliable identification in large-scale
systems. The fingerprint engine is NIST MINEX compliant and is capable of matching rolled and flat
fingerprints between themselves. The face engine includes live face detection
and processes multiple faces in live video streams. An iris engine available as an add-on for the MegaMatcher¡¦ Read more
• Cluster software
for high productivity, efficiency and scalability. MegaMatcher SDK includes
cluster software for performing fast parallel matching. The cluster allows
increases in matching speed and database size proportional to the number of the
cluster nodes, allows to process large number of identification requests in
practically real time, and provides general system robustness¡¦ Read more
• MegaMatcher
Accelerator. A solution for building the server-side part of a large-scale
AFIS. A single MegaMatcher Accelerator unit matches 10 million fingerprints per
second¡¦ Read more
• MegaMatcher
Standard and Extended SDK. The Standard SDK is intended for development of
client/server-based multi-biometric face-fingerprint identification products.
The Extended SDK is intended for developing large-scale cluster-based AFIS or
multi-biometric identification products. Components of these SDKs are listed
with supported platforms. MegaMatcher SDK supports BioAPI 2.0 and other ANSI
and ISO biometric standards¡¦ Read
more
• Supported
fingerprint scanners. More than 50 scanners are supported by MegaMatcher SDK.
The SDK includes fingerprint scanner support module for Microsoft Windows (32 and 64
bit) and Linux (32 and 64 bit)¡¦ Read more
• System requirements
and supported development environments. Components of MegaMatcher SDK can be
run on computers with x86 32 and 64 bit processors (at least 2 GHz processor
recommended). Windows and Linux platforms are supported. Microsoft SQL Server,
MySQL, PostgreSQL and Oracle are supported¡¦ Read more
• Technical specifications. The MegaMatcher fingerprint engine is able
to match up to 40,000 fingerprints per second on a single cluster node¡¦Read more
• Reliability
and performance testing results. MegaMatcher provides high identification
reliability using either fingerprint, face or iris matching engines, and using
fused single- or multi-biometric identification allows it to reach almost 0%
FRR¡¦ Read more.
• MINEX Certification.
In 2007 MegaMatcher 2.0 fingerprint technology received full MINEX
Certification. NIST certified MegaMatcher for use in personal identity
verification program (PIV) applications¡¦ Read more
• Download.
MegaMatcher brochure and 30-day SDK Trial are available for downloading¡¦ Read more
• Licensing options.
To develop a MegaMatcher-based product, an integrator should obtain MegaMatcher
3.1 Standard SDK or Extended SDK. A license is required for each running
instance of MegaMatcher components. Single computer licenses, concurrent
network licenses and enterprise licenses are available¡¦ Read more
• Prices. MegaMatcher
Standard SDK costs ¢æ 2,590, and Extended SDK – ¢æ 4,990. Prices for additional
component installation licenses depend on their quantity¡¦ Read
more
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MegaMatcher related products
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• MegaMatcher Accelerator – a solution for building the server-side part of a large-scale AFIS;
a single MegaMatcher Accelerator matches 10 million fingerprints per second.
• MegaMatcher Palm Print Add-on – allows
developers to integrate palm print templates extraction and matching with
biometric systems based on MegaMatcher SDK.
• VeriEye 2.2 Standard SDK - can be used as the iris add-on for MegaMatcher.
• Smartcard
Finger-Match add-on – allows developers to
integrate storage and verification of fingerprint templates on a JavaCard with
existing biometric systems based on VeriFinger SDK or MegaMatcher SDK.
• Smartcard
Face-Match add-on – allows developers to
integrate storage and verification of face templates on a JavaCard with
existing biometric systems based on VeriLook SDK or MegaMatcher SDK.

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