Face Recognition Vendor Test (FRVT) Performance of Face Identification Algorithms NIST IR 8009

Published

May 21, 2014

Author(s)

Patrick Grother, Mei Ngan

Abstract

This report documents performance of one-to-many face identification algorithms, and compares it with that in 2010. Performance in this context refers recognition accuracy and computational resource usage as measured by executing those algorithms on massive sequestered datasets. These are: reasonable quality law enforcement mugshot images; poor quality webcam images collected in similar detention operations; and moderate quality visa application images. The mugshot and visa images are used to approximate performance obtainable using high quality ISO standardized images collected in passport, visa and driving license duplicate detection operations.

Citation

NIST Interagency/Internal Report (NISTIR) - 8009

Report Number

8009

NIST Pub Series

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.8009

Local Download

Keywords

biometrics, face recognition, identification, forensics, pattern recognition

Forensic Science and Biometrics

Citation

Grother, P. and Ngan, M. (2014), Face Recognition Vendor Test (FRVT) Performance of Face Identification Algorithms NIST IR 8009, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8009, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915761 (Accessed May 18, 2022)