Text/Graphics Separation Revisited

Karl Tombre 1 Salvatore Tabbone 1 Loïc Pélissier 1 Bart Lamiroy 1 Philippe Dosch 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Text/graphics separation aims at segmenting the document into two layers: a layer assumed to contain text and a layer containing graphical objects. In this paper, we present a consolidation of a method proposed by Fletcher and Kasturi, with a number of improvements to make it more suitable for graphics-rich documents. We discuss the right choice of thresholds for this method, and their stability. We also propose a post-processing step for retrieving text components touching the graphics, through local segmentation of the distance skeleton.
Type de document :
Communication dans un congrès
D. Lopresti, J. Hu and R. Kashi. 5th International Workshop on Document Analysis - DAS'02, 2002, Princeton, NJ, USA, Springer Verlag, 2423, pp.200-211, 2002, Lecture Notes in Computer Science
Liste complète des métadonnées

https://hal.inria.fr/inria-00100781
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 14:50:59
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

Identifiants

  • HAL Id : inria-00100781, version 1

Collections

Citation

Karl Tombre, Salvatore Tabbone, Loïc Pélissier, Bart Lamiroy, Philippe Dosch. Text/Graphics Separation Revisited. D. Lopresti, J. Hu and R. Kashi. 5th International Workshop on Document Analysis - DAS'02, 2002, Princeton, NJ, USA, Springer Verlag, 2423, pp.200-211, 2002, Lecture Notes in Computer Science. 〈inria-00100781〉

Partager

Métriques

Consultations de la notice

243