| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-classification |
| - image-feature-extraction |
| tags: |
| - palm |
| - palmprint |
| - hand-palm |
| - hand-detection |
| - palm-detection |
| - palm-recognition |
| - biometric-authentication |
| - identity-verification |
| - computer-vision |
| - smartphone |
| - mobile-biometrics |
| - cross-device |
| - demographic-diversity |
| size_categories: |
| - 10K<n<100K |
| language: |
| - en |
| --- |
| 24,000 high-quality images from 2,000 diverse participants worldwide - smartphone palm recognition dataset for biometric authentication |
|
|
| ## Participants & Demographics |
| - 2,000 diverse participants from multiple countries |
| - Balanced gender representation |
| - 6+ ethnic groups: Black, South Asian, Caucasian, Arab/Middle Eastern, Hispanic, East Asian |
| - Age range: Under 20 to 50+ years |
| - Both right-handed and left-handed individuals |
|
|
|  |
|
|
| ## Image Capture |
| - Smartphone-based: 200+ different models (iOS and Android) |
| - Dual-camera: Both front-facing and back-facing cameras |
| - Multiple backgrounds: 3 variations per configuration |
| - Complete coverage: Both left and right hands |
| - 12 images per participant |
|
|
| ## Rich metadata included |
| - Format: JSON and CSV |
| - Demographics: Gender, ethnicity, birth year, profession |
| - Technical: Device model, camera type, handedness |
| - File mappings: Links to all 12 images per participant |
|
|
| ## Comparison With Public Palmprint Databases |
|
|
| | Dataset | Subjects | Images | Capture Method | |
| |---------|----------|--------|----------------| |
| | **This dataset** | **2,000** | **24,000** | **200+ smartphones** | |
| | Tongji Contactless | 300 | 12,000 | Custom device | |
| | PolyU v3.0 | 600 | 12,000 | Custom device | |
| | IITD Touchless | 230 | 2,601 | Fixed setup | |
| | 11K Hands | 190 | 11,076 | Single camera | |
| | MPD (DeepMPV) | 200 | 16,000 | Smartphones | |
|
|
| ## Full version of dataset is availible for commercial usage - leave a request on our website [Axonlabs ](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link)to purchase the dataset 💰 |
|
|
| ## Use cases |
| - **Biometric Authentication:** Train palm recognition systems for secure authentication in mobile apps, banking, and access control |
| - **Cross-Device Testing:** Test algorithm performance across 200+ different smartphone models and camera qualities |
| - **Fairness Research:** Evaluate and improve model accuracy across different ethnicities, ages, and genders |
| - **Multi-Modal Biometrics:** Combine palm recognition with face, fingerprint, or iris for enhanced security |
|
|
| ## Why This Dataset? |
| - 2-3x larger than comparable public datasets |
| - Real smartphone capture (not specialized scanners) |
| - Comprehensive demographic diversity |
| - Dual-camera data for robustness testing |
| - Rich metadata for fairness research |
|
|
