TY  - CONF
AU  - Albert Berenguel
AU  - Oriol Ramos Terrades
AU  - Josep Llados
AU  - Cristina Cañero
A2  - ICDAR
PY  - 2019//
TI  - Recurrent Comparator with attention models to detect counterfeit documents
BT  - 15th International Conference on Document Analysis and Recognition
N2  - This paper is focused on the detection of counterfeit documents via the recurrent comparison of the security textured background regions of two images. The main contributions are twofold: first we apply and adapt a recurrent comparator architecture with attention mechanism to the counterfeit detection task, which constructs a representation of the background regions by recurrently condition the next observation, learning the difference between genuine and counterfeit images through iterative glimpses. Second we propose a new counterfeit document dataset to ensure the generalization of the learned model towards the detection of the lack of resolution during the counterfeit manufacturing. The presented network, outperforms state-of-the-art classification approaches for counterfeit detection as demonstrated in the evaluation.
UR  - https://ieeexplore.ieee.org/document/8977990
UR  - http://dx.doi.org/10.1109/ICDAR.2019.00215
N1  - DAG; 600.140; 600.121; 601.269
ID  - Albert Berenguel2019
ER  -