IDKit PC SDK
How It Works
IDKit PC SDK includes both a 1:1 verification, which compares two fingerprints for their similarity, as well as a 1:N identification, which quickly searches for a fingerprint in a database of fingerprints. Unlike other fingerprint SDK solutions, IDKit PC SDK represents all fingerprints as “user records,” making for simple retrieval with basic function calls such as RegisterUer, FindUser, and RemoveUser.
IDKit PC SDK has made the process of identifying and verifying users as simple as possible.
The IDKit PC library compares fingerprint images and calculates their similarity scores employing a variety of 1-to-1 verification strategies:
- compare two fingerprint images (verification of a probe fingerprint with a referenced fingerprint);
- compare multiple fingerprint impressions (views) of the same finger against one or multiple other fingerprint impressions; and
- compare fingerprints coming from multiple fingers against another set of fingerprint images.
The IDKit PC SDK enables you to identify users by searching fingerprint images in a database against a scanned image. This process of identification can be performed in a variety of ways including:
- identification of one particular fingerprint image
- identification of multiple fingerprint impressions (views) of the same finger
- identification of fingerprints coming from multiple fingers
IDKit PC SDK is the fastest fingerprint recognition software on the market and includes a number of powerful performance-based benefits:
- Comparison times — IDKit PC SDK has unparalleled performance within the industry. It’s capable of scanning 200,000 fingerprints per second
- Identification — automatic memory mapping of database content means no additional database access is required to perform an identification search.
- Algorithms — IDKit PC SDK contains a proprietary, high-speed fingerprint identification algorithm suitable for the most demanding applications.
IDKit PC SDK includes a localized SQLite3 database for fingerprint image storage which greatly improves the performance for verification and comparison of captured to stored images.