method: sample-12023-03-16

Authors: Zhenrong Zhang, Lei Jiang, Youhui Guo, Jianshu Zhang, Jun Du

Affiliation: University of Science and Technology of China (USTC), iFLYTEK AI Research


Description: 1. A table cell detection[1] model is performed to split images into table and non-table regions.
2. We perform the key-value-background classification for each OCR bounding box using GraphDoc[2].
3. For the table regions, we merge OCR boxes into table cells and then find the left and top keys for each value table cell according to manual rules.
4. For non-table regions (including plain text outside table cells in table images), we use a MLP to predict all keys for each value box.