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PUBLICATIONS

Face Analysis Technology Evaluation (FATE) Part 10: Performance of Passive, Software-based Presentation Attack Detection (PAD) Algorithms

Published

Author(s)

Mei Lee Ngan, Patrick J. Grother, Austin Hom

Abstract

This report quantifies the accuracy of passive purely software-based face presentation attack detection (PAD) algorithms operating on conventional 2D imagery of various presentation attack instruments (PAI). The algorithms were submitted to the Presentation Attack Detection track of the Face Analysis Technology Evaluation (FATE) executed by the National Institute of Standards and Technology (NIST).
Citation
NIST Interagency/Internal Report (NISTIR) - 8491
Report Number
8491
NIST Pub Series
NIST Interagency/Internal Report (NISTIR)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.8491
Local Download

Keywords

face analysis vendor test, FATE, FRTE, presentation attack detection
Information technology and Biometrics

Citation

Ngan, M. , Grother, P. and Hom, A. (2023), Face Analysis Technology Evaluation (FATE) Part 10: Performance of Passive, Software-based Presentation Attack Detection (PAD) Algorithms, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8491, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956456 (Accessed November 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 19, 2023