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Face Recognition Accuracy Declines with Masked Faces

Face Recognition Accuracy Declines with Masked Faces
NIST digitally applied mask shapes to photos and tested the performance of face recognition algorithms developed before COVID appeared. Because real-world masks differ, the team came up with variants that included differences in shape, color and nose coverage. Photo: NIST

The accuracy of face recognition algorithms used on photos of people that have been altered with a digitally created mask declines even with the best commercial algorithms used in one-to-one matches, the National Institute of Standards and Technology (NIST) says in a new study. The algorithms tested by NIST were mostly developed before COVID-19 hit and not with masked faces in mind. A later evaluation will assess software developed for masked faces. NIST says that the best of the 89…

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