Palmprint Recognition
Uses dermal ridge patterns across the palm for identification, distinct from vein-based methods.
Overview
Palmprint recognition analyzes ridge detail across the palm, offering a larger surface area than fingerprints for feature extraction.
How it works
- Capture the palm using optical or contactless sensors.
- Extract ridge minutiae and orientation fields.
- Match against enrolled templates.
Common use cases
- Law-enforcement forensic databases
- Secure facility access
- Research on hand-based biometrics
Strengths and limitations
Strengths: Large feature area; resistant to minor cuts.
Limitations: Bulkier sensors; less standardized than fingerprints.
Key terms
- Palmprint: Ridge patterns of the palm surface.
- Minutiae: Ridge endings and bifurcations used for matching.