NEURAL NETWORKS, BIOMETRICS AND COMPUTER VISION
was founded in Vilnius, Lithuania in 1990 with the key idea of using neural networks for applications such as biometric person identification, computer vision, robNeurotechnologyotics and artificial intelligence. Much to our delight, we were able to endure the "neural networks winter" by using and expanding this expertise all through 2012, the year that brought explosive developments in the concept and infrastructure of deep neural networks. This allowed us to quickly take advantage of the emerging opportunities that came with the new wave of deep learning and triggered an entire range of new projects in object recognition and other applications. Currently, our team is comprised of more than 100 employees, 15% of whom hold a Ph.D. and half of our employees are actively involved in R&D activities
- We have a reputation for developing a range of products for biometric identification of fingerprints, palm prints, faces, irises and voices. Since the release of our first fingerprint identification system, we have delivered more than 200 products and version upgrades for identification and verification of objects and personal identity. Over 3,000 system integrators, security companies and hardware providers in more than 140 countries integrate our algorithms into their products.
- With a combination of fast algorithms and high reliability, our company's fingerprint, face, iris, voiceand palmprint biometric technologies can be used for access control, computer security, banking, time attendance control and law enforcement applications, among others.
- With millions of customer installations worldwide, our products are used for both civil and forensic applications, including border crossings, criminal investigations, systems for voter registration, verification and duplication checking, passport issuance and other national-scale projects.
- Neurotechnology's fingerprint identification algorithms have shown some of the best resultsfor reliability in major biometric competitions and evaluations, including the National Institute of Standards & Technology (NIST) Minutiae Interoperability Exchange III (MINEX III), Proprietary Fingerprint Template Evaluation II (PFT II) and Fingerprint Vendor Technology Evaluation for the US Department of Justice (FpVTE 2012). Previously, the fingerprint recognition algorithms have received awards in the International Fingerprint Verification Competitions (FVC2006, FVC2004, FVC2002 and FVC2000).
- In 2018, our iris recognition algorithm was tested in the NIST Iris Exchange (IREX) Evaluation and was recognized as the second most accurate among those tested. The accelerated version of the algorithm was nearly 50 times faster than any other matching system in the NIST IREX IX evaluation. Previously, Neurotechnology showed outstanding results in the IREX, IREX III and IREX IV evaluations.
- In 2019 our palm print matching algorithm has shown the top resultat the FVC-onGoing evaluation, being the most accurate overall and fastest among the five most accurate matchers.
We have a reputation for developing a range of products for biometric identification.
Founded in 1990 with the key idea of using neural networks for applications such as biometric person identification, computer vision, robotics and artificial intelligence.