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PADISI USC Dataset
The dataset includes two subsets: PADISI‑Finger and PADISI‑Face, which are intended for research on multimodal fingerprint presentation‑attack detection and facial presentation‑attack detection, respectively.
Updated 5/20/2024
github
Description
PADISI USC Dataset Overview
Dataset Composition
- PADISI‑Finger: Multimodal fingerprint presentation‑attack detection dataset. See details in
README_FINGER.md. - PADISI‑Face: Dataset for detecting and continuously learning novel facial presentation attacks, with sentence descriptions for all samples. See details in
README_FACE.md.
Sources
- PADISI‑Finger introduced in "Multi‑Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset" (https://ieeexplore.ieee.org/document/9399674).
- PADISI‑Face introduced in "Detection and Continual Learning of Novel Face Presentation Attacks" (https://openaccess.thecvf.com/content/ICCV2021/html/Rostami_Detection_and_Continual_Learning_of_Novel_Face_Presentation_Attacks_ICCV_2021_paper.html).
- Sample descriptions for PADISI‑Face presented in "Explaining Face Presentation Attack Detection Using Natural Language" (https://doi.ieeecomputersociety.org/10.1109/FG52635.2021.9667024).
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Topics
Biometric Security
Attack Detection
Source
Organization: github
Created: 2/7/2022
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