Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced the release of the new MegaMatcher 12.3 multi-biometric product line, including updates to the MegaMatcher software development kit (SDK) and to MegaMatcher Accelerator – a combined software and hardware solution that provides high-speed, high-volume biometric identification for national-scale projects. The latest versions include enhanced facial and iris recognition algorithms with improved liveness detection, a new voice recognition algorithm and a new inference engine that provides significantly better speed and performance across all biometric modalities.
“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 Evaldas Borcovas, biometric research lead at Neurotechnology. “This latest version of MegaMatcher exemplifies these efforts, providing greater accuracy in verification and identification processes while enabling our customers’ systems to work faster.”
The MegaMatcher product line includes Neurotechnology’s top-ranked biometric algorithms providing high recognition and identification accuracy across fingerprint, face, iris, palm print and voice biometric modalities that can be used individually or in any combination.
The latest enhancements to the MegaMatcher 12.3 product line include:
A new Intel Inference Engine provides better all-around performance, particularly for extraction operations. Support for Mac M1 (ARM) with neural network framework is now significantly faster than any previous versions running on the macOS.
Fingerprint. The new fingerprint algorithm includes support for the latest NIST Fingerprint Image Quality (NFIQ) 2.1 biometric standard, offering a higher degree of compatibility and flexible application.
Passive Face Liveness Detection. Newly introduced passive face liveness algorithm (also known as Presentation Attack Detection – PAD) establishes a higher degree of fraud prevention in mobile and dynamic situations.
Face. Additional updates to the face algorithm include an improved face extraction algorithm, better face detection and significantly improved detection of specific facial attributes including: gender, beard, mustache, hat, blink, mouth open, smile, glasses and dark glasses. A new attribute for glasses with a heavy frame is also introduced.
Iris Liveness Detection. Upgraded iris liveness algorithm (PAD) brings new improvements to eye activity detection and potential deceit risks assessment.
Voice. An entirely new algorithm introduces Neurotechnology’s advanced capabilities for voice recognition with multiple times better EER results.
MegaMatcher Accelerator. In addition to the proprietary API, version 12.3 also adds support for gRPC API (HTTP 2.0), making it easier to add security, load balancers and enabling the product to be used with any language (including Python and PHP) without native C components.
