Forensic Fingerprint Dataset
Dataset of fingerprint images paired with 5-7 distorted/latent versions of the same finger, simulating real-world forensic challenges.
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- People
- 100
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- Photos
- 6000+
- Computer Vision
- Forensics
- Machine Learning
- Data Labeling
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- People
- 100
-
- Photos
- 6000+
Dataset Info
| Characteristic | Data |
| Description | Paired high-quality and distorted fingerprint images for forensic matching and denoising tasks. |
| Data types | Image |
| Tasks | Matching, denoising, minutiae extraction |
| Number of images | 6000+ |
| Number of files in a set | 1 high-quality image and 5-7 distorted/latent samples |
| Total number of people | 100 |
| Distortion Types | Smudges, partial prints, dry/wet fingers, pressure artifacts |
| Annotations | Manual correspondence labels (latent-to-reference pairs) |
Technical
Characteristics
| Characteristic | Data |
| Image Extensions | Png |
| Image Resolution | 500 DPI (strict) |
| Image Colour | Grayscale |
Industries
Security
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Robust Authentication:
Enhancing fingerprint sensors (e.g., smartphones) to handle poor-quality inputs.
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Liveness Detection:
Identifying synthetic/spoofed prints via distortion patterns.
Government and Border Control
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Visa/Passport Processing:
Handling low-quality scans in high-throughput systems.
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Disaster Victim ID:
Matching prints from compromised conditions.
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