The Community for Technology Leaders
2013 12th International Conference on Document Analysis and Recognition (2013)
Washington, DC, USA USA
Aug. 25, 2013 to Aug. 28, 2013
ISSN: 1520-5363
pp: 1449-1453
ABSTRACT
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.
INDEX TERMS
Portable document format, Educational institutions, Text analysis, Measurement, HTML, Training, Electronic mail
CITATION

M. Gobel, T. Hassan, E. Oro and G. Orsi, "ICDAR 2013 Table Competition," 2013 12th International Conference on Document Analysis and Recognition(ICDAR), Washington, DC, USA USA, 2013, pp. 1449-1453.
doi:10.1109/ICDAR.2013.292
97 ms
(Ver 3.3 (11022016))