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Fingerprint Spoofing Dataset 4,000 photos
The dataset contains 4,000+ fingerprint images from 100 individuals, captured with a ZKTeco ZK9500 optical scanner and including real fingerprints and spoofing attacks created with alginate, plasticine, and silicone materials. It includes metadata (gender, age, finger, hand, device) and supports biometric security research, presentation attack detection, spoof detection, and fingerprint recognition model training.- Get the data
Dataset characteristics:
| Characteristic | Data |
|---|---|
| Description | Fingerprint images were captured via four attack types: alginate, real, plasticine, and silicone |
| Data types | Image |
| Tasks | Spoof Detection, Classification |
| Number of images | 4000+ |
| Number of files in a set | 40 (10 real, 10 alginate, 10 plasticine, 10 silicone) |
| Type of attack | Alginate, real, plasticine, and silicone |
| Labeling | Metadata (gender, age, finger, hand, device) |
| Total number of people | 100 |
π Sample dataset available! For full access, contact us to discuss purchase terms.
Dataset structure
- Alginate β photos of alginate attack.
- Plasticine β photos of plasticine attack.
- Real β photos of real fingerprint.
- Silicone β photos of silicone attack.
- meta.xlsx - metadata for the dataset.
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