Title: Matching Table Structures of Historical Register Books using Association Graphs
Language: English
Authors: Kleber, Florian 
Diem, Markus
Dejean, Herve 
Meunier, Jean-Luc 
Lang, Eva 
Keywords: document image analysis; table recognition; table matching
Issue Date: 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In this paper we present a template-based table structure matching using association graphs for handwritten/printed historical documents.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 maximum 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 of 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%.
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3758
Library ID: AC15144296
ISBN: 9781538658758
Organisation: E193 - Institut für Visual Computing and Human-Centered Technology 
Publication Type: Inproceedings
Appears in Collections:Conference Paper

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