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PUBLICATIONS

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

Published

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 October 6, 2022)

Created May 20, 2014, Updated June 24, 2021