Model-Based Analysis of Printed Tables

We develop a strategy for extracting the underlying relational information from the images of printed tables. Visual clues that exist in the image are used for extracting first the physical, and then the logical structure of the table. Since these visual clues generally have a logical meaning, there must be some association made between the graphical attributes extracted and their function of reflecting the logic expressed by the table; this knowledge is coordinated in a model. This approach, therefore, can be adapted to all tables which have graphical attributes discernible to the image analysis being used.

[1]  A. Laurentini,et al.  Identifying and understanding tabular material in compound documents , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[2]  Rangachar Kasturi,et al.  Structural recognition of tabulated data , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

[3]  Toyohide Watanabe,et al.  Toward a practical document understanding of table-form documents: its framework and knowledge representation , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).