Abstract
Fingerprint-based biometric systems are not entirely secure due to their vulnerability to presentation attacks. In this paper, we propose a new presentation attack method based on a Bag-of-Words approach, which by combining local and global information of fingerprint can correctly identify bona fine presentations from presentation attacks. The experimental evaluation of our proposal, over the well-known LivDet 2011 dataset, showed an Average Classification Error of 4.73%, outperforming the state of the art.
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CITATION STYLE
González-Soler, L. J., Chang, L., Hernández-Palancar, J., Pérez-Suárez, A., & Gomez-Barrero, M. (2018). Fingerprint presentation attack detection method based on a bag-of-words approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10657 LNCS, pp. 263–271). Springer Verlag. https://doi.org/10.1007/978-3-319-75193-1_32
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