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 October 8, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Ongoing Face Recognition Vendor Test (FRVT) Part 2: Identification
Published
Author(s)
, ,
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
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created November 27, 2018