Neurotechnology updates MegaMatcher

Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced the release of the new MegaMatcher 11 line of biometric solutions, cloud technologies and software development kits (SDKs).The latest versions include algorithm enhancements that improve accuracy, speed and interoperability across multiple biometric modalities: fingerprint, face, iris, voice and palmprint – any of which can be used alone or in combination. The algorithms in the new MegaMatcher 11 product line – which are among the top ranked in the NIST MINEX, PFT, FRVT and IREX evaluations – are available in a variety of formats to meet any biometric identification needs.”With continued research in modern neural networks, our team introduces another leap in person identification accuracy by using multiple biometric traits separately or together,” said Dr. Justas Kranauskas, R&D Manager for Neurotechnology. The algorithm enhancements in the MegaMatcher 11 product line include fingerprint, face, iris, voice and palmprint modalities:Fingerprint algorithm updates for template generation, extraction, classification and matching improve accuracy, speed and interoperability. The classification algorithm improves both classification accuracy and speed and a new slap image segmentation algorithm detects the orientation of each fingerprint, allowing for the handling of more complex cases. Neurotechnology's fingerprint algorithms were top-ranked in the latest NIST evaluations:NIST MINEX III: Neurotechnology's template generators are ranked as the most interoperable MINEX III compliant template generators on the market. The MegaMatcher 11 template generator and matcher pair are ranked the 2nd most accurate native MINEX III compliant pair.NIST Proprietary Fingerprint Template Evaluation II (PFT II): Neurotechnology's one-to-one fingerprint verification algorithm (submission 4E) is the 2nd most accurate algorithm on average across all 33 experiments.Face detection and recognition algorithms are significantly enhanced in MegaMatcher 11. The latest face detection algorithm locates many more faces in varied and difficult conditions and can detect up to a full profile rotation of the head. Compared to the previous version, face recognition accuracy is five times higher when set at a low False Acceptance Rate. Other face processing algorithms were also updated, including: more accurate facial feature points detection, better face image quality estimation and improved face properties and emotion classifiers.

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