An Adaptative Recognition System Using a Table Description Language for Hierarchical Table Structures in Archival Documents
نویسندگان
چکیده
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 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 with noise with a more precise description.
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