Table Detection via Probability Optimization

This paper presents a table detection algorithm using optimization method. We define the table detection problem within the whole page segmentation framework. To reach a good table detection result, we emphasize to optimize the probabilities of the table region , its neighboring text block and their separator. An iterative updating method is used to optimize the whole page segmentation probability. The training and testing data set for the algorithm include document pages having table entities and a total of cell entities. Compared with our previous work [12], it raised the accuracy rate to from and to from .