Biometric and Artificial Intelligence Technologies
Laisves pr. 125A, Vilnius, LT-06118, Lithuania

Neurotechnology was founded (in Vilnius, Lithuania in 1990) with the key idea of using neural networks for applications such as biometric person identification, computer vision, robotics 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 fingerprintfaceiris and voice 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 results for 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.

Besides biometrics, Neurotechnology also develops other technologies in the fields of computer vision, robotics and ultrasound appliances.

Read full company description on our website.


MegaMatcher Accelerator Case Study- Venezuela’s New Biometric Voter Registration System

Based on MegaMatcher biometric technology, the new system enrols registered voters and verifies identity during local, regional and national elections.

MegaMatcher Case Study- Republic of Indonesia Biometric Passport System

The Republic of Indonesia uses MegaMatcher multi-biometric technology for Integrated Biometric Passport Issuance System.

MegaMatcher Case Study – Bosnia and Herzegovina Biometric Passport and ID System Based on MegaMatcher Technology

Bosnia and Herzegovina Biometric Passport and ID System Based on MegaMatcher Technology Ensures Quality and Accuracy Required to Meet European Union Standards

MegaMatcher Accelerator Case Study – Somaliland National ID Project

Sahal Tech Solutions implemented Somaliland’s successful multi-biometric National ID project based on MegaMatcher Accelerator.

Multi-Biometric Case Study- Spanish Airports Install Multi-biometric Security Systems

Based on VeriFinger, VeriLook and MegaMatcher Technology Systems are Implemented by Indra


VeriFinger/MegaMatcher Case Study – SecureMantra’s AFPIS Helps Solve Criminal Cases in India

The Criminal AFPIS Enterprise Solution is based on VeriFinger & MegaMatcher technology

Company Related News & Articles

SkyBiometry and Neurotechnology Upgrade Face Recognition API

“SkyBiometry is pitching the API for user authentication, access management, and attendance tracking, as well as interactive marketi...

Neurotechnology Adds Attribute Recognition to SentiMask 2.0

Neurotechnology is rolling out the second edition of its SentiMask Software Development Kit. The algorithm offers real-time face tracking ...

Neurotechnology Launches New Directional Speaker that Targets a Single Listener

“…facial recognition cameras placed in a store could identify shoppers based on age, gender, or even mood, allowing Focusonic ...

Neurotechnology Enhances MegaMatcher Platforms with Palmprint Recognition

Neurotechnology has added its palmprint recognition technology to its flagship MegaMatcher line of products. The solution was declared the...

Afghanistan Plans to Reuse Biometric Devices for Presidential Election

Afghanistan’s Independent Election Commission (IEC) is moving forward with plans to use biometric devices for the country’s upcoming P...