November 2, 2010MegaMatcher Accelerator 3.0 for Rapid Biometric Identification Matches Up to 200 Million Irises or 100 Million Fingerprints Per Second
Latest Solution from Neurotechnology Provides Very Fast Identification Using Either Iris or Fingerprint Biometrics or Both Combined for Even Higher Reliability
Vilnius, Lithuania – November 2, 2010 – Neurotechnology, a provider of high-precision biometric identification technologies, today announced the release of MegaMatcher Accelerator 3.0, a packaged multi-biometric software and hardware solution for high-volume, high-speed fingerprint and iris identification. This latest version of MegaMatcher Accelerator includes very fast iris matching capabilities of up to 200 million irises per second, with increased fingerprint matching speeds of up to 100 million fingerprints per second. Either iris or fingerprint modes can be used as primary, fast-identification biometrics, or both can be used together for even more accurate multi-biometric identification. Additionally, MegaMatcher Accelerator can check identification results with other biometric data from any Neurotechnology-supported modality, including fingerprint, iris, face or palmprint, providing the very high level of reliability required for applications such as voter duplication detection, passport issuance, border crossings or other national-scale projects.
Unlike systems that use classification or indexing schemes for matching (which can result in loss of reliability and speed), MegaMatcher Accelerator’s matching technology compares every fingerprint and every iris to provide more accurate results. MegaMatcher Accelerator 3.0 can manage a database of up to 30 million fingerprints (a 10 million fingerprint increase over the previous version) with speeds that are 2.5 times faster than the 1:N (1-to-many) matching speed of the previous version, making it the fastest, high-volume fingerprint matching engine available. When iris is used, MegaMatcher Accelerator 3.0 can manage a database of up to 50 million irises. For situations where an even larger number of fingerprints or irises is required, multiple MegaMatcher Accelerators can be connected in a cluster to manage databases with billions of records.
“In the last few years, a number of countries have engaged in very large, national-scale biometric projects that require identification or de-duplication of records for tens or hundreds of millions of people,” said Dr. Algimantas Malickas, CEO of Neurotechnology. “For better reliability, such projects may require not only a single biometric modality, but multi-biometric identification. MegaMatcher Accelerator is specially designed for such large-scale applications. Adding fast iris identification and increasing both speed and managed volume allows us to increase the reliability of such systems while decreasing both complexity and pricing,” Dr. Malickas added.
MegaMatcher 3.0 is available in both Extended and Standard versions. System benchmarks for both MegaMatcher Accelerator 3.0 versions are among the fastest in the industry:
Neurotechnology is a provider of high-precision biometric fingerprint, face, iris and palmprint identification algorithms, object recognition technology and software development products. More than 2000 system integrators, security companies and hardware providers integrate Neurotechnology’s algorithms into their 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 and Technology (NIST)‘s Fingerprint Vendor Technology Evaluation (FpVTE) and IREX 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 and released its first fingerprint identification system in 1991. Since that time the company has released more than 60 products and version upgrades for identification and verification of objects and personal identity.
Jennifer Allen Newton
Bluehouse Consulting Group, Inc.
jennifer (at) bluehousecg (dot) com