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Author | Albert Berenguel; Oriol Ramos Terrades; Josep Llados; Cristina Cañero | ||||
Title | Recurrent Comparator with attention models to detect counterfeit documents | Type | Conference Article | ||
Year | 2019 | Publication | 15th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | 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. | ||||
Address | Sidney; Australia; September 2019 | ||||
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Language | Summary Language | Original Title | |||
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Area | Expedition ![]() |
Conference | ICDAR | ||
Notes | DAG; 600.140; 600.121; 601.269 | Approved | no | ||
Call Number | Admin @ si @ BRL2019 | Serial | 3456 | ||
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