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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).
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 October 10, 2025)