  The vulnerabilities of fingerprint-based recognition systems to direct
attacks with and without the cooperation of the user are studied. Two different
systems, one minutiae-based and one ridge feature-based, are evaluated on a
database of real and fake fingerprints. Based on the fingerprint images quality
and on the results achieved on different operational scenarios, we obtain a
number of statistically significant observations regarding the robustness of
the systems.
