Abstract
Archival documents are difficult to recognize because they are often damaged. Moreover, variations between documents are important even for documents having a priori the same structure. A recognition system to overcome these difficulties requires external knowledge. Therefore we present a recognition system using a user description. To use table descriptions in analyzing the image, our system uses the intersections of two rulings with a close extremity of one or each of these two rulings. We present some results to show how our system can recognize tables with a general description and how it can deal with noise with a more precise description.
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Martinat, I., Coüasnon, B., Camillerapp, J. (2008). An Adaptative Recognition System Using a Table Description Language for Hierarchical Table Structures in Archival Documents. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_2
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DOI: https://doi.org/10.1007/978-3-540-88188-9_2
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