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Author (up) Albert Berenguel; Oriol Ramos Terrades; Josep Llados; Cristina Cañero edit  doi
  Title Evaluation of Texture Descriptors for Validation of Counterfeit Documents Type Conference Article
  Year 2017 Publication 14th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume Issue 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.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2379-2140 ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG; 600.061; 601.269; 600.097; 600.121 Approved no  
  Call Number Admin @ si @ BRL2017 Serial 3092  
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