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

Abstract: Archival documents are difficult to recognize because they are often damaged. Moreover, variations between documents are important even for the documents having a priori the same structure. A recognition system to overcome these difficulties needs an external knowledge. Therefore we present a recognition system using an user description. To use table descriptions in analyzing the image, our system uses final intersections, 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 noise with a more precise description.