Florian Kleber, Markus Diem, Hervé Déjean, Jean-Luc Meunier, Eva Lang
16th International Conference on Frontiers in Handwriting Recognition, Niagara Falls, USA, 05 - 08 August 2018
In this paper we present a template based table structure matching using association graphs for handwritten/printed historical documents. The recognition of the table structure consisting of column and header information is the prerequisite for the subsequent row detection and handwritten text recognition used for information extraction. The table matching is done by detecting the maximimum clique in an association graph which represents the matching of the line information of the template and a document of interest. This allows for variations of widths and heights from rows and columns. The presented methodology is evaluated on historical register books (death records) of the Archive of the Diocese of Passau. The method shows a reliable detection of the structure of handwritten/printed tables with a mean cell match of 88.28%.
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