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metadata
license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
tags:
  - fingerprint spoofing
  - biometric spoofing
  - fingerprints
  - biometric security
size_categories:
  - 1K<n<10K

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.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

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

🌐 UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects.