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Ongoing Face Recognition Vendor Test (FRVT) Part 2: Identification

Published

Author(s)

Patrick J. Grother, Mei L. Ngan, Kayee K. Hanaoka

Abstract

This report documents performance of face recognition algorithms applied to the one-to-many identification of faces appearing in portrait images. The primary dataset is comprised of 26.6 million reasonably well controlled live photos of 12.3 million individuals. Three smaller datasets containing more unconstrained photos are used also. The report will be useful for the comparison of algorithms, and for assessing absolute capability of face recognition with portrait images.
Citation
NIST Interagency/Internal Report (NISTIR) - 8238
Report Number
8238

Citation

Grother, P. , Ngan, M. and Hanaoka, K. (2018), Ongoing Face Recognition Vendor Test (FRVT) Part 2: Identification, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8238 (Accessed January 18, 2022)
Created November 27, 2018