ICDAR 2013 Table Competition

Type of Publication: Contribution to a conference collection
Publication status: Published
Author: Göbel, Max; Hassan, Tamir; Oro, Ermelinda; Orsi, Giorgio
Year of publication: 2013
Conference: 12th International Conference on Document Analysis and Recognition (ICDAR) 2013, Aug 25, 2013 - Aug 28, 2013, Washington, DC
Published in: Proceedings 12th International Conference on Document Analysis and Recognition : ICDAR 2013. - Piscataway, NJ : IEEE, 2013. - pp. 1449-1453. - ISSN 1520-5363. - eISSN 2379-2140. - ISBN 978-0-7695-4999-6
DOI (citable link): https://dx.doi.org/10.1109/ICDAR.2013.292
Summary:
Table understanding is a well studied problem in document analysis, and many academic and commercial approaches have been developed to recognize tables in several document formats, including plain text, scanned page images and born-digital, object-based formats such as PDF. Despite the abundance of these techniques, an objective comparison of their performance is still missing. The Table Competition held in the context of ICDAR 2013 is our first attempt at objectively evaluating these techniques against each other in a standardized way, across several input formats. The competition independently addresses three problems: (i) table location, (ii) table structure recognition, and (iii) these two tasks combined. We received results from seven academic systems, which we have also compared against four commercial products. This paper presents our findings.
Subject (DDC): 004 Computer Science
Keywords: PDF, born-digital PDF, document analysis, document understanding, table recognition, table location, table structure recognition, table understanding
Bibliography of Konstanz: Yes

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GÖBEL, Max, Tamir HASSAN, Ermelinda ORO, Giorgio ORSI, 2013. ICDAR 2013 Table Competition. 12th International Conference on Document Analysis and Recognition (ICDAR) 2013. Washington, DC, Aug 25, 2013 - Aug 28, 2013. In: Proceedings 12th International Conference on Document Analysis and Recognition : ICDAR 2013. Piscataway, NJ:IEEE, pp. 1449-1453. ISSN 1520-5363. eISSN 2379-2140. ISBN 978-0-7695-4999-6. Available under: doi: 10.1109/ICDAR.2013.292

@inproceedings{Gobel2013-08ICDAR-43176, title={ICDAR 2013 Table Competition}, year={2013}, doi={10.1109/ICDAR.2013.292}, isbn={978-0-7695-4999-6}, issn={1520-5363}, address={Piscataway, NJ}, publisher={IEEE}, booktitle={Proceedings 12th International Conference on Document Analysis and Recognition : ICDAR 2013}, pages={1449--1453}, author={Göbel, Max and Hassan, Tamir and Oro, Ermelinda and Orsi, Giorgio} }

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