Skip to Main content Skip to Navigation
Conference papers

A perceptive method for handwritten text segmentation

Aurélie Lemaitre 1 Jean Camillerapp 1 Bertrand Coüasnon 1
1 IMADOC - Interprétation et Reconnaissance d’Images et de Documents
UR1 - Université de Rennes 1, INSA Rennes - Institut National des Sciences Appliquées - Rennes, CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : This paper presents a new method to address the problem of handwritten text segmentation into text lines and words. Thus, we propose a method based on the cooperation among points of view that enables the localization of the text lines in a low resolution image, and then to associate the pixels at a higher level of resolution. Thanks to the combination of levels of vision, we can detect overlapping characters and re-segment the connected components during the analysis. Then, we propose a segmentation of lines into words based on the cooperation among digital data and symbolic knowledge. The digital data are obtained from distances inside a Delaunay graph, which gives a precise distance between connected components, at the pixel level. We introduce structural rules in order to take into account some generic knowledge about the organization of a text page. This cooperation among information gives a bigger power of expression and ensures the global coherence of the recognition. We validate this work using the metrics and the database proposed for the segmentation contest of ICDAR 2009. Thus, we show that our method obtains very interesting results, compared to the other methods of the literature. More precisely, we are able to deal with slope and curvature, overlapping text lines and varied kinds of writings, which are the main diculties met by the other methods.
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00567074
Contributor : Aurélie Lemaitre <>
Submitted on : Friday, February 18, 2011 - 9:58:30 AM
Last modification on : Thursday, March 5, 2020 - 2:00:56 PM
Document(s) archivé(s) le : Tuesday, November 6, 2012 - 2:15:37 PM

File

articleFinal.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00567074, version 1

Citation

Aurélie Lemaitre, Jean Camillerapp, Bertrand Coüasnon. A perceptive method for handwritten text segmentation. Document recognition and retrieval XVIII - Electronic Imaging, Jan 2011, San Francisco, United States. pp.7874 0C. ⟨hal-00567074⟩

Share

Metrics

Record views

304

Files downloads

1144