An Adaptative Recognition System Using a Table Description Language for Hierarchical Table Structures in Archival Documents

Authors:
Isaac Martinat;Bertrand Coüasnon;Jean Camillerapp
Affiliations:
IRISA / INSA, Campus universitaire de Beaulieu, Rennes Cedex, France F-35042;IRISA / INSA, Campus universitaire de Beaulieu, Rennes Cedex, France F-35042;IRISA / INSA, Campus universitaire de Beaulieu, Rennes Cedex, France F-35042
Venue:
Graphics Recognition. Recent Advances and New Opportunities
Year:
2008

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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.