SFinGe: an Approach to Synthetic Fingerprint Generation

This paper describes SFinGe, a method for generating synthetic fingerprints on the basis of some mathematical models that describe the main features of real fingerprints. The synthetic images are randomly generated according to few given parameters. SFinGe captures the variability which characterizes the acquisition of fingerprints through on-line sensors and uses a sequence of steps to derive a series of “impressions” of the same “artificial finger”. The approach is able to generate very realistic fingerprints, which can be useful for performance evaluation, training and testing of fingerprint-based systems.