%0 Conference Proceedings
%T Evaluation of Texture Descriptors for Validation of Counterfeit Documents
%A Albert Berenguel
%A Oriol Ramos Terrades
%A Josep Llados
%A Cristina Cañero
%B 14th International Conference on Document Analysis and Recognition
%D 2017
%@ 2379-2140
%F Albert Berenguel2017
%O DAG; 600.061; 601.269; 600.097; 600.121
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3092), last updated on Mon, 07 Dec 2020 14:26:44 +0100
%X This paper describes an exhaustive comparative analysis and evaluation of different existing texture descriptor algorithms to differentiate between genuine and counterfeit documents. We include in our experiments different categories of algorithms and compare them in different scenarios with several counterfeit datasets, comprising banknotes and identity documents. Computational time in the extraction of each descriptor is important because the final objective is to use it in a real industrial scenario. HoG and CNN based descriptors stands out statistically over the rest in terms of the F1-score/time ratio performance.
%U http://dx.doi.org/10.1109/ICDAR.2017.204
%P 1237-1242