United States Government Publishing Office publisher pbl distributor dst United States Commerce Department National Institute of Standards and Technology (NIST) author aut Government Organization Grother, Patrick. author aut text government publication eng GOVPUB Executive Agency Publications executive 2020-07-14 Commerce Department 2019-12-19 monographic deposited born digital 82 digital object pages C 13. https://www.govinfo.gov/app/details/GOVPUB-C13-5a5c1d28d99c5a718d50bdbbae85cbb9 P0b002ee1a77155de on1139336489 (OCoLC)1139336489 DGPO 2020-07-14 2026-07-04 GOVPUB-C13-5a5c1d28d99c5a718d50bdbbae85cbb9 machine generated eng fdlp C13 GOVPUB-C13-5a5c1d28d99c5a718d50bdbbae85cbb9 5a5c1d28d99c5a718d50bdbbae85cbb9 GOVPUB NIST Interagency or Internal Reports NOTE: THE “DATE ISSUED” ABOVE MAY DEFAULT TO JANUARY 1ST OF A GIVEN YEAR. TO THE VIEW THE MOST ACCURATE DATE OF ISSUE, REVIEW THE TITLE PAGE OF THE PUBLICATION. Interim or final reports on work performed by NIST for outside sponsors (both government and non-government). May also report results of NIST projects of transitory or limited interest, including those that will be published subsequently in more comprehensive form. National Institute of Standards and Technology Commerce Department. National Institute of Standards and Technology. 2019 2019-12-19 https://www.govinfo.gov/app/details/GOVPUB-C13-5a5c1d28d99c5a718d50bdbbae85cbb9 https://www.govinfo.gov/content/pkg/GOVPUB-C13-5a5c1d28d99c5a718d50bdbbae85cbb9/pdf/GOVPUB-C13-5a5c1d28d99c5a718d50bdbbae85cbb9.pdf Demographic Effects Biometrics (Identification) Facial pattern recognition (Computer science) Human face recognition (Computer science) Grother, Patrick. creator Grother, Patrick. Ngan, Mei. Hanaoka, Kayee. National Institute of Standards and Technology (U.S.) Information Technology Laboratory. mdu U.S. Dept. of Commerce, National Institute of Standards and Technology 2019-12-19. monographic 1 online resource (82 pages) : illustrations (color) text technical report eng This is the third in a series of reports on ongoing face recognition vendor tests (FRVT) executed by the National Institute of Standards and Technology (NIST). The first two reports cover, respectively, the performance of one-to-one face recognition algorithms used for verification of asserted identities, and performance of one-to-many face recognition algorithms used for identification of individuals in photo data bases. This document extends those evaluations to document accuracy variations across demographic groups Patrick J. Grother; Mei Lee Ngan; Kayee K. Hanaoka. December 2019. Title from PDF title page (viewed December 23, 2019). Includes bibliographical references. Mode of access: World Wide Web. Systems requirements: Adobe Acrobat PDF reader. Biometrics (Identification) Human face recognition (Computer science) Facial pattern recognition (Computer science) https://doi.org/10.6028/NIST.IR.8280 demographic effects demographic effects