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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).
Citation
NIST Interagency/Internal Report (NISTIR) - 8491
Report Number
8491

Keywords

face analysis vendor test, FATE, FRTE, presentation attack detection

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 11, 2024)

Issues

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Created September 19, 2023