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AFIS SDK
Helps developers to build an Automatic Fingerprint Identification System (AFIS).
Those systems can automatically detect several fingerprint features like: ridge pattern, core, deltas, ridge count and minutiae.
Key Features
- More then the fingerprint image: Auxiliary images help you to figure out different aspects of the fingerprint;
- Useful tool when manual analysis is needed: It automatically detects singularities like cores and deltas;
- Keep fingerprints organized: With automatic pattern classification the fingerprints will be classified in one of the six different possibilities;
- Enables manual adjustment: Full support to template editing;
- Prepared to extend other possibilities: Palm and latent fingerprint matching is also available;
- Additional algorithm to improve performance: Innovative matching algorithm to be used as a post matching to the conventional "minutiae based" one;
- Prepared to capture slap and rolled fingerprints: Automatic capture from the most important devices in the market;
- You can control when the fingerprint is captured: Automatic and manual capture modes available;
- Keeps your days headache-free: Functions to ease the development;
- Gives you the power you need: Features fully configurable;