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.
Type de document :
Communication dans un congrès
Flavio Bortolozzi and Robert Sabourin. 9th International Conference on Document Analysis and Recognition - ICDAR'07, Sep 2007, Curitiba, Brazil. IEEE Computer Society, 2, pp.789 - 793, 2007, 〈10.1109/ICDAR.2007.4377023〉
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https://hal.inria.fr/inria-00204098
Contributeur : Salvatore Tabbone <>
Soumis le : vendredi 11 janvier 2008 - 19:47:41
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

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Salvatore Tabbone, Daniel Zuwala. An indexing method for graphical documents. Flavio Bortolozzi and Robert Sabourin. 9th International Conference on Document Analysis and Recognition - ICDAR'07, Sep 2007, Curitiba, Brazil. IEEE Computer Society, 2, pp.789 - 793, 2007, 〈10.1109/ICDAR.2007.4377023〉. 〈inria-00204098〉

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