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NIST study finds that masks defeat most facial recognition algorithms

A National Institutes of Science and Technology found that 89 commercial facial recognition algorithms were defeated by masks.

The study — part of a series from NIST’s Face Recognition Vendor Test (FRVT) program conducted in collaboration with the Department of Homeland Security’s Science and Technology Directorate, the Office of Biometric Identity Management, and Customs and Border Protection — explored how well each of the algorithms was able to perform “one-to-one” matching, where a photo is compared with a different photo of the same person.

Source: NIST study finds that masks defeat most facial recognition algorithms | VentureBeat

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