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.
Type de document :
Communication dans un congrès
S. Marinai and A. Dengel. 6th IAPR International Workshop on Document Analysis Systems - DAS 2004, Sep 2004, Florence, Italie, Springer Verlag, 3163, pp.366--377, 2004, Lecture Notes in Computer Science
Liste complète des métadonnées

https://hal.inria.fr/inria-00099949
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:12:52
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

Identifiants

  • HAL Id : inria-00099949, version 1

Collections

Citation

Jan Rendek, Gérald Masini, Philippe Dosch, Karl Tombre. The search for genericity in graphics recognition applications: Design issues of the Qgar software system. S. Marinai and A. Dengel. 6th IAPR International Workshop on Document Analysis Systems - DAS 2004, Sep 2004, Florence, Italie, Springer Verlag, 3163, pp.366--377, 2004, Lecture Notes in Computer Science. 〈inria-00099949〉

Partager

Métriques

Consultations de la notice

85