Text segmentation in natural scenes using toggle-mapping

Authors:
J. Fabrizio;B. Marcotegui;M. Cord
Affiliations:
UPMC Univ Paris 06, Laboratoire d'informatique de Paris 6, Paris, France and MINES Paristech, Centre de morphologie mathématique, Mathématiques et Systèmes, Fontainebleau Cedex, Fra ...;MINES Paristech, Centre de morphologie mathématique, Mathématiques et Systèmes, Fontainebleau Cedex, France;UPMC Univ Paris 06, Laboratoire d'informatique de Paris 6, Paris, France
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

We offer, in this paper, a new method to segment text in natural scenes. This method is based on the use of a morphological operator: the Toggle Mapping. The efficiency of the method is illustrated and the method is compared, according to various criteria, with common methods issued from the state of the art. This comparison shows that our method gives better results and is faster than the state of the art methods. Our method reduces also the number of segmented regions. This can lead to time saving in a complete scheme (executing time of multiple processing steps usually depends on the number of regions) and proves that our algorithm is more relevant.