The use of a wavelet-Markov local descriptor, which exploits joint dependencies among wavelet coefficients, for fingerprint liveness detection, is proposed. On the LivDet 2009 datasets, a properly trained support vector machine classifier based on this descriptor guarantees an average error below 3%, as opposed to the 8% average error of the best conventional techniques.
Wavelet-Markov local descriptor for detecting fake fingerprints / Gragnaniello, Diego; Poggi, Giovanni; Sansone, Carlo; Verdoliva, Luisa. - In: ELECTRONICS LETTERS. - ISSN 0013-5194. - 50:6(2014), pp. 439-441. [10.1049/el.2013.4044]
Wavelet-Markov local descriptor for detecting fake fingerprints
GRAGNANIELLO, DIEGO;POGGI, GIOVANNI;SANSONE, CARLO;VERDOLIVA, LUISA
2014
Abstract
The use of a wavelet-Markov local descriptor, which exploits joint dependencies among wavelet coefficients, for fingerprint liveness detection, is proposed. On the LivDet 2009 datasets, a properly trained support vector machine classifier based on this descriptor guarantees an average error below 3%, as opposed to the 8% average error of the best conventional techniques.File in questo prodotto:
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