Isaac Martinat

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We present a system that recognizes tables in archival documents. Many works were carried out on table recognition but very few on tables of historical documents. These are difficult to analyze because they are often damaged due to their age and conservation. Therefore we have to introduce knowledge to compensate for missing information and noise in these(More)
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(More)
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