Updated MegaMatcher 6.0 Biometric Product Line Enhances Accuracy and Functionality
Neurotechnology's latest updates to the MegaMatcher biometric product line provide new functionality and algorithm improvements that enhance accuracy for fingerprint, face, iris and speaker identification.
Vilnius, Lithuania – September 15, 2015 – Neurotechnology, a provider of high-precision biometric identification technologies, today released updates to their entire MegaMatcher 6.0 line of biometric Software Development Kits (SDK). Updates include new capabilities and algorithm improvements that enhance accuracy for single and multi-biometric projects involving fingerprint, face, iris and speaker identification. Significant updates include the VeriLook 5.7 face recognition algorithm, which now offers improved face liveness detection and age estimation as well as other enhancements for reliability and performance. The improved fingerprint extraction and matching algorithm in VeriFinger 8.0 has successfully passed the recently-established NIST Minutiae Interoperability Exchange (MINEX) III evaluation with the most accurate results in the two finger category.
Updated biometric products from Neurotechnology include:
- MegaMatcher 6.0 multi-biometric SDK for large-scale applications enables the use of any combination of fingerprint, face, iris, palmprint or speaker modalities with the speed and accuracy required for national-scale projects. It provides extremely fast and accurate identification with thousands records per second on a single computer. For systems requiring even faster matching speeds, MegaMatcher Accelerator provides speeds of up to 100 million fingerprints, 200 million irises and 100 million faces per second on a single server with the ability to scale up for still faster speeds.
- VeriFinger 8.0 for fingerprint identification provides enhanced accuracy and speed and passed the recent NIST MINEX III with superior results, proving its compliance with state-of-the-art standards as well as its software interoperability with other biometric software. VeriFinger also now provides wrong hand detection in the fingerprint segmentation process. It includes support for ISO and ANSI fingerprint minutiae templates in the fingerprint extractor and fingerprint matcher components, which lowers the cost of systems that require support for most common biometric standards.
- VeriLook 5.7 for facial identification offers improved face liveness detection for greater accuracy with new passive, active or combination modes. It also provides improved facial feature points detection for higher reliability and speed, faster face template extraction from video streams and new age estimation capabilities that enable VeriLook to be used in a range of applications beyond biometric recognition.
- VeriEye 2.10 for iris identification provides enhanced accuracy through improved iris extraction capabilities.
- VeriSpeak 3.0 for voice biometrics provides improved speaker identification in text-independent mode, offering a higher level of accuracy for speaker identification applications.
- MegaMatcher on Card 3.5 for multi-biometric matching on a smart card offers enhanced support for on-card comparison dedicated standard formats by off-card SDK components. These include ISO on-card comparison fingerprint minutiae format records and appropriate ISO CBEFF patron format for use with smart cards and other tokens.
Neurotechnology has also expanded support for operating systems with the addition of iOS and ARM Linux support, making the MegaMatcher 6.0 line more attractive for embedded, mobile and multiplatform solutions. Other supported platforms are Windows, Linux, Mac OS X and Android.
"Our research team has improved many different features of our multi-biometric SDK," said Dr. Justas Kranauskas, project lead for Neurotechnology. "With significant enhancements in each biometric modality we are able to consistently provide our clients with better accuracy, speed and interoperability with each new release. It is also gratifying to have these enhancements confirmed by independent evaluations, like the strong results of our fingerprint algorithm in the recent MINEX III," Dr. Kranauskas added.
MINEX III Results
The Neurotechnology fingerprint algorithm was one of first to successfully pass the MINEX III evaluation, demonstrating its software compliance with the most recent NIST SP 800-76-2 Biometric Specifications for Personal Identity Verification (PIV) U.S. Government program for interoperability, native accuracy and ANSI ICITS 378 standard compliance requirements.
More information on the MINEX III evaluation's extended testing criteria and results may be found at the official NIST website. Additional comments and highlights of Neurotechnology's results can be found on the Neurotechnology website.
The results of MINEX III and other biometric evaluations continue to demonstrate that Neurotechnology's SDKs provide customers with the right combination of features and capabilities along with the reliability, interoperability and speed required for high-performance, high-accuracy biometric identification in national scale projects, such as the issuance of passports, national IDs, voting systems and border control applications.
The entire updated Neurotechnology biometric product line is available through Neurotechnology or from distributors worldwide. For more information, go to www.neurotechnology.com.
Neurotechnology is a provider of high-precision software development products for biometric fingerprint, face, iris, palmprint and voice identification; object recognition; AI and robotics. Drawing from years of academic research in the fields of neuroinformatics, image processing and pattern recognition, Neurotechnology was founded in 1990 in Vilnius, Lithuania and released its first fingerprint identification system in 1991. Since that time the company has released more than 130 products and version upgrades for identification and verification of objects and personal identity. More than 3000 system integrators, security companies and hardware providers integrate Neurotechnology's algorithms into their products, with millions of customer installations worldwide.
Jennifer Allen Newton
Bluehouse Consulting Group, Inc.
jennifer (at) bluehousecg (dot) com