Biometric Fingerprint Spoofing Dataset
Biometric Fingerprint Spoofing Dataset contains 5,000+ high-quality fingerprint images capturing real fingerprints and multiple spoofing fingerprint attack types, including print and replay scenarios. Designed for spoofing detection and liveness detection tasks, the fingerprint dataset provides labeled biometric data from different devices and fingers to train and evaluate biometric security and fingerprint recognition systems.
-
- People
- 100
-
- Photos
- 5000+
- Computer Vision
- Machine Learning
- Image Processing
- Security
- Anti-Spoofing
Biometric Fingerprint Spoofing Dataset contains 5,000+ high-quality fingerprint images capturing real fingerprints and multiple spoofing fingerprint attack types, including print and replay scenarios. Designed for spoofing detection and liveness detection tasks, the fingerprint dataset provides labeled biometric data from different devices and fingers to train and evaluate biometric security and fingerprint recognition systems.
- Computer Vision
- Machine Learning
- Image Processing
- Security
- Anti-Spoofing
-
- People
- 100
-
- Photos
- 5000+
Dataset Info
| Characteristic | Data |
| Description | Fingerprint images were captured via three attack types: print, real, and replay |
| Data types | Image |
| Tasks | Spoof Detection, Classification |
| Number of images | 5000+ |
| Number of files in a set | 30 (10 real, 10 print, 10 replay) |
| Labeling | Metadata (gender, age, finger, hand, shooting device, display device, paper) |
| Total number of people | 100 |
attacks monthly
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Technical
Characteristics
| Characteristic | Data |
| Image Extension | JPG |
| Device | iPhone, Samsung, OPPO |
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