UniDataPro/multi-material-fingerprint-spoofing

Fingerprint Spoofing

The dataset contains over 4,000+ photos from 100 people, consisting of fingerprints images and spoofing attacks created using various spoofing materials such as alginate, plasticine, and silicone. It serves as essential training data for biometric systems focused on fingerprint recognition and spoof detection.

By utilizing this dataset, researchers and developers can advance their understanding and capabilities in biometric security and spoof detection technologies. - Get the data

These spoofing attacks are designed to challenge biometric security measures and improve presentation attack detection techniques.

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Type of attack

Researchers can utilize this dataset to explore fingerprint identification and fingerprint comparison technologies that aim to prevent impostor attacks and improve biometric authentication processes

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