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Table structure understanding and its performance evaluation
- Source :
-
Pattern Recognition . Jul2004, Vol. 37 Issue 7, p1479-1497. 19p. - Publication Year :
- 2004
-
Abstract
- This paper presents a table structure understanding algorithm designed using optimization methods. The algorithm is probability based, where the probabilities are estimated from geometric measurements made on the various entities in a large training set. The methodology includes a global parameter optimization scheme, a novel automatic table ground truth generation system and a table structure understanding performance evaluation protocol. With a document data set having 518 table and 10,934 cell entities, it performed at the 96.76% accuracy rate on the cell level and 98.32% accuracy rate on the table level. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00313203
- Volume :
- 37
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Pattern Recognition
- Publication Type :
- Academic Journal
- Accession number :
- 13106919
- Full Text :
- https://doi.org/10.1016/j.patcog.2004.01.012