NEXT Biometrics to Provide Customers Simpler, Faster Software Customization With Algorithm From Neurotechnology

OSLO, Norway, Aug. 27, 2018 /PRNewswire/ -- NEXT Biometrics (Oslo Bors: NEXT), a global leader in fingerprint sensor technology, today announced it has purchased a source code license for the FingerCell algorithm from Neurotechnology, a developer of high-precision algorithms and software. The algorithm allows developers of solutions incorporating NEXT Biometrics fingerprint sensor technology to quickly customize their own products for superior performance and faster time-to-market.

"NEXT is very pleased to offer this outstanding software solution to support our customers in developing innovative biometrics systems and devices," said Ritu Favre, CEO, NEXT Biometrics. "The software license from Neurotechnology helps customers quickly tailor their products for specific requirements. In doing this, we're enabling our them to bring their biometric solutions to market faster and placing more of our advanced sensor technology directly at the fingertips of end-users."

NEXT has purchased the full rights for the FingerCell algorithm for use with its sensors. Products, solutions and development kits incorporating NEXT's advanced fingerprint sensor technology will now include the algorithm. As a result, the company is enhancing its product offerings with embedded modules and readers that can be seamlessly integrated into customer solutions in the smart card, government ID, access control and notebook market segments. By focusing on one broad software tool, the license from Neurotechnology allows NEXT to simplify its algorithm offerings and the development of end-products.

Both NEXT and Neurotechnology are committed to compliance with industry standards. Products using the FingerCell algorithm allow import and export of International Standards Organization (ISO) fingerprint templates and on-card comparison with mainstream secure elements and operating systems.

"Neurotechnology is proud to be selected as a strategic algorithm partner by NEXT Biometrics," said Dr. Algimantas Malickas, Founder and Owner of Neurotechnology. "Our professional biometric algorithms have consistently received top rankings in the Minutiae Interoperability Exchange (MINEX) and other biometric technology evaluations. NEXT's source-level license allows the company to offer its customers the ability to customize products more quickly."

About NEXT Biometrics

NEXT provides advanced fingerprint sensor technology that delivers uncompromised security and accuracy for the best possible user experience in the smart card, government ID, access control and notebook markets. The company's patented NEXT Active Thermal(TM) principle allows the development of large, high quality fingerprint sensors in both rigid and flexible formats. NEXT Biometrics Group ASA (www.nextbiometrics.com) is headquartered in Oslo, with sales, support and development operations in Seattle, Silicon Valley, Taipei, Prague, Bengaluru and Shanghai.

About Neurotechnology

Neurotechnology is a developer of high-precision algorithms and software based on deep neural network (DNN) and other AI-related technologies. The company offers a range of products for biometric fingerprint, face, iris, palmprint and voice identification as well as AI, computer vision, object recognition and robotics. 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. More than 3000 system integrators, security companies and hardware providers integrate Neurotechnology's algorithms into their products, with millions of customer installations worldwide. Neurotechnology's algorithms have achieved top results in independent technology evaluations, including NIST MINEX and IREX.

NEXT Biometrics media contact:

Tom Beermann
tom.beermann@nextbiometrics.com

Neurotechnology media contact:

Jennifer Allen Newton
Bluehouse Consulting Group, Inc.
jennifer@bluehousecg.com

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