Neurotechnology Improves Liveness Detection With MegaMatcher 12.3

Neurotechnology has released the latest iteration of its flagship MegaMatcher biometric platform. The company launched MegaMatcher 12 in September of 2020, and is continuing to build on that foundation with the debut of MegaMatcher 12.3.

As it relates to end users, MegaMatcher 12.3 comes with a slew of updates that will improve the speed and overall performance of the biometric platform. Most notably, Neurotechnology has added a new Intel Inference Engine that will streamline extraction operations, while its support for the Mac M1 (ARM) framework will minimize processing times for those running the platform on macOS devices.

Neurotechnology has also upgraded its portfolio of biometric algorithms. The fingerprint algorithm has been updated to meet the NIST Fingerprint Image Quality (NFIQ) 2.1 standard, while the facial recognition algorithm now has better face and feature detection capabilities that will allow it to identify features like gender, facial hair, and glasses with greater accuracy.

That facial recognition algorithm has been supplemented with a new passive liveness detection algorithm that will help guard against fraud, especially on mobile devices. Neurotechnology has taken similar steps to boost the liveness component of its iris recognition solution.

Finally, Neurotechnology is introducing a completely new (and more advanced) voice recognition algorithm. The company is also trying to make its technology more user-friendly, and has added gRPC API (HTTP 2.0) support to its large-scale MegaMatcher Accelerator product to allow developers to use any programing language without native C components.

“Every day our team aims to innovate technologies that make our products more accurate and robust while also being faster and less complex for our customers to use,” said Neurotechnology Biometric Research Lead Evaldas Borcovas. “This latest version of MegaMatcher exemplifies these efforts, providing greater accuracy in verification and identification processes while enabling our customers’ systems to work faster.”

Neurotechnology released an updated version of its MegaMatcher On Card SDK back in November, and brought image recognition to mobile devices with a SentiSight.ai app back in July. The On Card solution is part of the broader MegaMatcher product line.

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January 10, 2022 – by Eric Weiss