Extraction of Nom text regions from stele images using area Voronoi diagram

Thai V. Hoang 1 Salvatore Tabbone 1 Ngoc-Yen Pham 2
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Automatic processing of images of steles is a challenging problem due to the variation in their structures and body text characteristics. In this paper, area Voronoi diagram is used to represent the neighborhood of connected components in stele images containing Nom characters. Body text region is then extracted from stele images by the selection of appropriate adjacent Voronoi regions based on the information about the thickness of neighboring connected components. Experimental results show that the proposed method is highly accurate and robust to various types of stele.
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Communication dans un congrès
International Conference on Document Analysis and Recognition - ICDAR'2009, Jul 2009, Barcelona, Spain. IEEE, pp.921-925, 2009, Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on. 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5277472&arnumber=5277551&count=288&index=187&tag=1〉. 〈10.1109/ICDAR.2009.13〉
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Dernière modification le : jeudi 11 janvier 2018 - 06:21:19
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Thai V. Hoang, Salvatore Tabbone, Ngoc-Yen Pham. Extraction of Nom text regions from stele images using area Voronoi diagram. International Conference on Document Analysis and Recognition - ICDAR'2009, Jul 2009, Barcelona, Spain. IEEE, pp.921-925, 2009, Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on. 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5277472&arnumber=5277551&count=288&index=187&tag=1〉. 〈10.1109/ICDAR.2009.13〉. 〈inria-00430805〉

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