abhay2005gupta/palm-recognition-dataset

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

Full version of dataset is availible for commercial usage - leave a request on our website Axonlabs 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