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An indexing method for graphical documents

Salvatore Tabbone 1 Daniel Zuwala 1 
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, a method to browse symbols into graphi- cal documents is presented. More precisely, we propose a combined filtering and indexing mechanism that retrieves in an efficient way the most similar symbols to a given input query. For a database of 200000 symbols the retrieval time has been divided by a factor of 4, 5 compared to a linear search.
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https://hal.inria.fr/inria-00204098
Contributor : Salvatore Tabbone Connect in order to contact the contributor
Submitted on : Friday, January 11, 2008 - 7:47:41 PM
Last modification on : Friday, February 4, 2022 - 3:11:48 AM

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Salvatore Tabbone, Daniel Zuwala. An indexing method for graphical documents. 9th International Conference on Document Analysis and Recognition - ICDAR'07, IAPR, Sep 2007, Curitiba, Brazil. pp.789 - 793, ⟨10.1109/ICDAR.2007.4377023⟩. ⟨inria-00204098⟩

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