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Neurotechnology Announces
MegaMatcher 2.1 SDK for Development of Large-scale AFIS and
Multi-biometric Face-Fingerprint Identification Systems
Now Includes Live Face Detection, Enhanced Standards Support and Java Compatibility
Vilnius, Lithuania – May 7, 2008
– Neurotechnology, a provider of high-precision biometric
identification technologies, today announced the availability of
MegaMatcher 2.1 SDK for the development of large-scale automated
fingerprint identification systems (AFIS) and multi-biometric
face-fingerprint identification systems. MegaMatcher 2.1 includes a
number of new features and enhancements, including live face detection
functionality, improved cluster fault tolerance, support for a wider
range of international standards and Java compatibility for
implementation of Internet-based identification systems and easier
integration into existing systems. MegaMatcher, which received full
NIST MINEX certification last year, 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.
MegaMatcher 2.1 is optimized for use in
automated biometrical identification systems for both forensic and
civil applications, such as crime scene investigations, border
crossings, passport and visa documentation, election control systems
and even credit card transactions where the need for both fast and
accurate identification is paramount. The fused face/fingerprint
algorithm in MegaMatcher 2.1 can produce up to 400,000 matches per
second on a single processor PC; and with enhanced fault-tolerant,
scalable cluster software, MegaMatcher 2.1 can perform extremely fast,
parallel fingerprint and face matching across multiple PCs using
databases of practically unlimited size.
New live face detection technology in
MegaMatcher 2.1 is especially useful for eliminating fraud in Web-based
applications because it can verify if the face being presented in a
remote client location is a live person as opposed to a previously
captured image.
"The demand for large-scale and
Internet-based identification applications is growing, and with this
update to MegaMatcher we're making it easier for our customers to
develop these types of systems using our most powerful and scaleable
biometric identification algorithms," said Algimantas Malickas, CEO of Neurotechnology.
The MegaMatcher fingerprint algorithm is tolerant to fingerprint
translation, rotation and deformation and has the ability to match
between rolled and flat fingerprints. When multiple fingerprints have
been scanned at the same time, the fingerprint segmentation
functionality in MegaMatcher can automatically segment them into
separate fingerprints. And for forensic applications, MegaMatcher 2.1
includes an API for the editing of latent fingerprint templates, such
as those collected from crime scenes.
MegaMatcher 2.1 includes enhanced fault
tolerance functionality when the system is used in a cluster. If a
cluster node faults, MegaMatcher 2.1 automatically passes the content
to other nodes, without requiring re-initialization. This virtually
eliminates down-time due to node failures, makes the system more
reliable and helps to ensure non-stop processing.
MegaMatcher 2.1 supports all of the standards
implemented in previous versions of MegaMatcher, including WSQ,
ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange);
ANSI/NIST-ITL 1-2000 (Data Format for the Interchange of Fingerprint,
Facial, & Scar Mark & Tattoo (SMT) Information) and ISO/IEC
19794-2 (Fingerprint minutiae data). In addition, MegaMatcher 2.1 adds
support for additional standards, including:
- BioAPI 2.0 (ISO/IEC 1978-1:2006) Framework and Biometric Service Providers (BSP) for face and fingerprint identification engines
- ISO/IEC 19794-4 (Information technology – Biometric data interchange formats – Finger image data)
- ISO/IEC 19794-5 (Information technology – Biometric data interchange formats – Face image data)
- ANSI INCITS 381-2004 (American National Standard for Information Technology – Finger Image-Based Data Interchange Format)
- ANSI INCITS 385-2004 (American National Standard for Information Technology – Face Recognition Format for Data Interchange)
Multi-biometric systems that incorporate both face and fingerprint
identification offer a number of advantages. Using the multi-biometric
technology in MegaMatcher 2.1, developers and integrators can create
systems where both face and fingerprint can be scanned at the same time
using inexpensive hardware such as a fingerprint scanner and a simple
Webcam or photo scanner (for example, scanning a passport photo). A
multi-biometric system based on MegaMatcher 2.1 provides both greater
convenience and matching speed for the user and a much higher level of
security, even when using very large databases, because the fusion of
both face and fingerprint provides unambiguous identification.
MegaMatcher 2.1 is compatible with other
Neurotechnology products, including VeriFinger, VeriLook and the
FaceCell and FingerCell embedded development kits. All components of
MegaMatcher 2.1 can be used on both Microsoft Windows and Linux
operating systems.
MegaMatcher 2.1 Standard SDK (formerly known
as MegaMatcher Light SDK) and MegaMatcher 2.1 Extended SDK (formerly
known as MegaMatcher SDK) are available now 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 and downloads, go to: http://www.neurotechnology.com.
About Neurotechnology
Neurotechnology is a provider of high-precision biometric fingerprint
and face identification algorithms, object recognition 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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