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2008
IEEE

Unsupervised categorization of heterogeneous text images based on fractals

9 years 2 months ago
Unsupervised categorization of heterogeneous text images based on fractals
This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing on their fonts. First text regions are extracted, and then font matching is performed using fractal descriptors. Experiments are done for both maps and ancient documents.
Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi,
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi, Rémy Mullot
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