Evaluation of direct attacks to fingerprint verification systems

Autor:	Galbally, J., Fierrez, J., Alonso-Fernandez, F., Martinez-Diaz, M.
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
DOI:	10.1007/s11235-010-9316-0
Popis:	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. Comment: Published at Springer Journal of Telecommunication Systems, Special Issue of Biometrics Systems & Applications
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2212.07575 Zobrazit plný text záznamu View this record from Arxiv