Automatic Table ground truth generation and a background-analysis-based table structure extraction method

Yalin Wang; Ihsin T. Phillips; Robert Haralick

doi:10.1109/ICDAR.2001.953845

Automatic Table ground truth generation and a background-analysis-based table structure extraction method

Yalin Wang, Ihsin T. Phillips, Robert Haralick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

49 Scopus citations

Abstract

In this paper, we first describe an automatic table ground truth generation system which can efficiently generate a large amount of accurate table ground truth suitable for the development of table detection algorithms. Then a novel background-analysis-based, coarse-to-fine table identification algorithm and an X-Y cut table decomposition algorithm are described. We discuss an experimental protocol to evaluate the table detection algorithms. For a total of 1,125 document pages having 518 table entities and a total of 10,941 cell entities, our table detection algorithm takes line, word segmentation results as input and obtains around 90% cell correct detection rates.

Original language	English (US)
Title of host publication	Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
Publisher	IEEE Computer Society
Pages	528-532
Number of pages	5
ISBN (Electronic)	0769512631, 0769512631, 0769512631
DOIs	https://doi.org/10.1109/ICDAR.2001.953845
State	Published - 2001
Externally published	Yes
Event	6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States Duration: Sep 10 2001 → Sep 13 2001

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2001-January
ISSN (Print)	1520-5363

Other

Other	6th International Conference on Document Analysis and Recognition, ICDAR 2001
Country/Territory	United States
City	Seattle
Period	9/10/01 → 9/13/01

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.2001.953845

Cite this

Wang, Y., Phillips, I. T., & Haralick, R. (2001). Automatic Table ground truth generation and a background-analysis-based table structure extraction method. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (pp. 528-532). [953845] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953845

Automatic Table ground truth generation and a background-analysis-based table structure extraction method. / Wang, Yalin; Phillips, Ihsin T.; Haralick, Robert.

Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society, 2001. p. 528-532 953845 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, Y, Phillips, IT & Haralick, R 2001, Automatic Table ground truth generation and a background-analysis-based table structure extraction method. in Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001., 953845, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2001-January, IEEE Computer Society, pp. 528-532, 6th International Conference on Document Analysis and Recognition, ICDAR 2001, Seattle, United States, 9/10/01. https://doi.org/10.1109/ICDAR.2001.953845

Wang Y, Phillips IT, Haralick R. Automatic Table ground truth generation and a background-analysis-based table structure extraction method. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society. 2001. p. 528-532. 953845. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2001.953845

Wang, Yalin ; Phillips, Ihsin T. ; Haralick, Robert. / Automatic Table ground truth generation and a background-analysis-based table structure extraction method. Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society, 2001. pp. 528-532 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

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AB - In this paper, we first describe an automatic table ground truth generation system which can efficiently generate a large amount of accurate table ground truth suitable for the development of table detection algorithms. Then a novel background-analysis-based, coarse-to-fine table identification algorithm and an X-Y cut table decomposition algorithm are described. We discuss an experimental protocol to evaluate the table detection algorithms. For a total of 1,125 document pages having 518 table entities and a total of 10,941 cell entities, our table detection algorithm takes line, word segmentation results as input and obtains around 90% cell correct detection rates.

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Automatic Table ground truth generation and a background-analysis-based table structure extraction method

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