IDKit Mobile SDK
How it works
IDKit Mobile SDK works through both a 1:1 verification as well as a 1:N identification. Unlike other fingerprint SDK solutions, IDKit Mobile SDK represents all fingerprints as “user records,” making for simple retrieval with basic function calls such as RegisterUer, FindUser, and RemoveUser.
IDKit Mobile SDK has made the process of identifying and verifying users as simple as possible.
Verification
The IDKit Mobile SDK 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.
Identification
The IDKit Mobile 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
Performance
IDKit Mobile SDK is the fastest fingerprint recognition software on the market and includes a number of powerful performance-based benefits:
- Comparison times — IDKit Mobile SDK has unparalleled performance within the industry. It’s capable of scanning 40,000 fingerprints per second! (on Intel XScale PXA 270, 624MHz)
- Identification — automatic memory mapping of database content means no additional database access is required to perform an identification search.
- Algorithms — IDKit Mobile SDK contains a proprietary, high-speed fingerprint identification algorithm suitable for the most demanding applications.
Database
IDKit Mobile SDK includes a localized SQLite3 database for fingerprint image storage which greatly improves the performance for verification and comparison of captured to stored images.