@InProceedings{AlbertBerenguel2017,
author="Albert Berenguel
and Oriol Ramos Terrades
and Josep Llados
and Cristina Ca{\~n}ero",
title="Evaluation of Texture Descriptors for Validation of Counterfeit Documents",
booktitle="14th International Conference on Document Analysis and Recognition",
year="2017",
pages="1237--1242",
abstract="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.",
optnote="DAG; 600.061; 601.269; 600.097; 600.121",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3092), last updated on Mon, 07 Dec 2020 14:26:44 +0100",
issn="2379-2140",
doi="10.1109/ICDAR.2017.204"
}