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Ongoing Face Recognition Vendor Test (FRVT) Part 6A: Face recognition accuracy with masks using pre- COVID-19 algorithms
Published
Author(s)
Mei L. Ngan, Patrick J. Grother, Kayee K. Hanaoka
Abstract
This is the first of a series of reports on the performance of face recognition algorithms on faces occluded by masks, run under the Ongoing Face Recognition Vendor Test (FRVT) executed by the National Institute of Standards and Technology (NIST). This report documents accuracy of algorithms to recognize persons wearing face masks. The algorithms tested were one-to-one algorithms submitted to the FRVT 1:1 Verification track.
Ngan, M.
, Grother, P.
and Hanaoka, K.
(2020),
Ongoing Face Recognition Vendor Test (FRVT) Part 6A: Face recognition accuracy with masks using pre- COVID-19 algorithms, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8311
(Accessed October 6, 2025)