Skip to main content
U.S. flag

An official website of the United States government

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.

Face Recognition Vendor Test (FRVT) Part 7: Identification for Paperless Travel and Immigration

Published

Author(s)

Patrick Grother, Austin Hom, Mei Ngan, Kayee Hanaoka

Abstract

One-to-many biometric search systems are discussed in their role of positive and negative identification - the former refers to the expectation that person in a probe sample is present in the database (as in access to an office) while the latter presumes the person is not (as in compulsive gamblers entering a casino). The distinction is useful because the application differ in their tolerance for false negatives and false positives. This report addresses the positive use of one-to-many facial recognition in airport transit settings in which travelers' faces are matched against galleries of individuals expected to be present. We primarily consider the case where face recognition serves double-duty for access control (to an aircraft) and facilitation (of recording a visa-holder's exit). This report summarizes three NIST activities: First, to describe the biometric aspects of the immigration exit application and factors that are expected to affect its performance; second, to document results from running offline simulations in which recent accurate face recognition algorithms are applied to actual ENTRY and EXIT images with the goals of establishing a methodology, estimating accuracy, and exposing some factors that will affect those estimates; third to consider whether the use of face recognition at other airport touchpoints airport where higher populations are expected.
Citation
NIST Interagency/Internal Report (NISTIR) - 8381
Report Number
8381

Keywords

face recognition, biometrics

Citation

Grother, P. , Hom, A. , Ngan, M. and Hanaoka, K. (2021), Face Recognition Vendor Test (FRVT) Part 7: Identification for Paperless Travel and Immigration, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8381, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932484 (Accessed November 28, 2021)
Created July 13, 2021