A graph based approach for heterogeneous document segmentation

Authors:
Fattah Zirari;Driss Mammass;Abdellatif Ennaji;Stephane Nicolas
Affiliations:
Laboratory IRF-SIC, Ibn Zohr University, Agadir, Morocco, Laboratory LITIS, University of Rouen, Rouen, France;Laboratory IRF-SIC, Ibn Zohr University, Agadir, Morocco;Laboratory LITIS, University of Rouen, Rouen, France;Laboratory LITIS, University of Rouen, Rouen, France
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

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Abstract

In the field of document image processing, the text/graphic separation is a major step that conditions the performance of the recognition and indexing systems. That involves identifying and separating the graphical and textual components of a document image. In this context, it is important to implement approaches that effectively address these problems. This paper presents a method for separating textual and non textual components in document images using a graph-based modeling and structural analysis. This is a fast and efficient method to separate adequately the graphical and the textual areas of a document. Some examples obtained on technical documents and magazines issued from the databases approved by the community make it possible to validate the approach.