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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.
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Conference papers
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https://hal.inria.fr/inria-00176893
Contributor : Philippe Dosch <>
Submitted on : Thursday, October 4, 2007 - 5:30:02 PM
Last modification on : Monday, March 29, 2021 - 11:50:03 AM

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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. 9th International Conference on Document Analysis and Recognition - ICDAR'07, IAPR, Sep 2007, Curitiba, Brazil. pp.884-888. ⟨inria-00176893⟩

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