A New Algorithm for Detecting Text Line in Handwritten Documents

Yi Li 1 Yefeng Zheng 2 David Doermann 1 Stefan Jaeger 1
1 LAMP - Laboratory for Language and Media Processing
2 Siemens Corporate Research
Abstract : Curvilinear text line detection and segmentation in handwritten documents is a significant challenge for handwriting recognition. Given no prior knowledge of script, we model text line detection as an image segmentation problem by enhancing text line structure using a Gaussian window, and adopting the level set method to evolve text line boundaries. Experiments show that the proposed method achieves high accuracy for detecting text lines in both handwritten and machine printed documents with many scripts.
Keywords : Handwritten Text Line Detection Document Image Analysis Level Set Methods
Type de document :
Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/inria-00108340
Contributeur : Ist Rennes <>
Soumis le : vendredi 20 octobre 2006 - 14:54:15
Dernière modification le : lundi 20 juin 2016 - 14:10:32
Document(s) archivé(s) le : mardi 6 avril 2010 - 20:18:14

Fichier

cr1093170512534.pdf

Identifiants

  • HAL Id : inria-00108340, version 1

Collections

IWFHR10

Citation

Yi Li, Yefeng Zheng, David Doermann, Stefan Jaeger. A New Algorithm for Detecting Text Line in Handwritten Documents. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00108340〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

243

Téléchargements de fichiers

1091

Contact


archive-ouverte@inria.fr