Dataset Hub

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.

Biometric Attack Dataset – Different Lighting Conditions Dataset, containing personal and attack photo videos captured under various lighting conditions such as darkroom, daylight, lightroom, and nightlight. Each video in the dataset is about 20 seconds long and is used to learn facial features via deep neural networks and biometric technologies to prevent spoofing attacks.