On the Generation of Synthetic Fingerprint Alterations
Serena Papi, Matteo Ferrara, Davide Maltoni, Alexandre Anthonioz · 2016
In this paper we propose some techniques to generate synthetic altered fingerprints and prove the utility of the generated datasets for developing, tuning and evaluating algorithms for altered fingerprint detection/matching. Due to the lack of public databases of altered fingerprints the generation tool proposed (and made freely available) can be a valid instrument to boost research on these challenging problems.