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PUBLICATIONS

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.
Citation
NIST Interagency/Internal Report (NISTIR) - 8311
Report Number
8311
NIST Pub Series
NIST Interagency/Internal Report (NISTIR)
Pub Type
NIST Pubs

Download Paper

DOI Link

Keywords

face recognition, face masks, biometrics
Biometrics

Citation

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 April 30, 2024)

Created July 23, 2020, Updated July 24, 2020