Multispectral-Spoof  (MSSpoof)

Multispectral-Spoof is a dataset for multi-spectral face recognition and presentation attack detection (anti-spoofing). The dataset contains images of Bona Fide VIS and NIR images as well as VIS and NIR printed presentation attacks (spoofing attacks) to VIS and NIR systems. The number of clients in the dataset is 21. The recordings are done using a uEye camera with resolution 1280x1024. When recording the images in NIR, a NIR filter of 800nm has been mounted to the camera.

Related Organizations

Idiap Research Institute
Switzerland

Keywords

biometrics, presentation attacks, photo attack, Near-InfraRed (NIR), spoofing, face recognition

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