Fingerprint presentation attack detection method based on a bag-of-words approach
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© Springer International Publishing AG, part of Springer Nature 2018.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.