Camera-Based Graphical Symbol Detection

Marçal Rusiñol 1 Josep Lladós 1 Philippe Dosch 2
2 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present a method to locate and recognize graphical symbols appearing in real images. A vectorial signature is defined to describe graphical symbols. It is formulated in terms of accumulated length and angular information computed from polygonal approximation of contours. The proposed method aims to locate and recognize graphical symbols in cluttered environments at the same time, without needing a segmentation step. The symbol signature is tolerant to rotation, scale, translation, blurring effect and illumination changes usually present when working with scenes acquired with low resolution cameras in open environments.
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.884-888, 2007
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https://hal.inria.fr/inria-00176893
Contributeur : Philippe Dosch <>
Soumis le : jeudi 4 octobre 2007 - 17:30:02
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

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  • HAL Id : inria-00176893, version 1

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Marçal Rusiñol, Josep Lladós, Philippe Dosch. Camera-Based Graphical Symbol Detection. Flavio Bortolozzi and Robert Sabourin. 9th International Conference on Document Analysis and Recognition - ICDAR'07, Sep 2007, Curitiba, Brazil. IEEE Computer Society, 2, pp.884-888, 2007. 〈inria-00176893〉

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