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The search for genericity in graphics recognition applications: Design issues of the Qgar software system

Jan Rendek 1 Gérald Masini 1 Philippe Dosch 1 Karl Tombre 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents the main design and development issues of the Qgar software environment for graphics recognition applications. We aim at providing stable and robust implementations of state-of-the-art methods and algorithms, within an intuitive and user-friendly environment. The resulting software system is open, so that our applications can be easily interfaced with other systems, and, conversely, that third-party applications can be "plugged" into our environment with little effort. The paper also presents a quick tour of the various components of the Qgar environment, and concentrates on the usefulness of this kind of system for testing and evaluation purposes.
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Conference papers
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https://hal.inria.fr/inria-00099949
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 10:12:52 AM
Last modification on : Friday, February 26, 2021 - 3:28:07 PM

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  • HAL Id : inria-00099949, version 1

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Jan Rendek, Gérald Masini, Philippe Dosch, Karl Tombre. The search for genericity in graphics recognition applications: Design issues of the Qgar software system. 6th IAPR International Workshop on Document Analysis Systems - DAS 2004, Sep 2004, Florence, Italie, pp.366--377. ⟨inria-00099949⟩

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