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Face Recognition Accuracy Declines with Masked Faces

Cal Biesecker By
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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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