Software Shows Improvement in Recognizing Masked Faces
A new study of face recognition technology created after the
onset of the COVID-19 pandemic shows that some software developers have
made demonstrable progress at recognizing masked faces.
The findings, produced by the National Institute of Standards
and Technology (NIST), are detailed in a new report called Ongoing Face Recognition Vendor Test
(FRVT) Part 6B: Face Recognition Accuracy with Face Masks Using
Post-COVID-19 Algorithms (NISTIR 8331). It is the agency’s
first study that measures the performance of face recognition algorithms
developed following the arrival of the pandemic. A previous report from
July explored the effect of masked faces on algorithms submitted before
March 2020, indicating that software available before the pandemic often
had more trouble with masked faces.