TY  - CONF
AU  - Albert Berenguel
AU  - Oriol Ramos Terrades
AU  - Josep Llados
AU  - Cristina Cañero
A2  - ICDAR
PY  - 2017//
TI  - Evaluation of Texture Descriptors for Validation of Counterfeit Documents
BT  - 14th International Conference on Document Analysis and Recognition
SP  - 1237
EP  - 1242
N2  - 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.
SN  - 2379-2140
UR  - http://dx.doi.org/10.1109/ICDAR.2017.204
N1  - DAG; 600.061; 601.269; 600.097; 600.121
ID  - Albert Berenguel2017
ER  -