Tabelstrukturgenkendelse
Tabelstrukturgenkendelse is a term used to describe the process of identifying and reconstructing the structure of tabular data within documents or images. It focuses on determining the layout of a table, including the location of the table, the arrangement of rows and columns, and the boundaries of individual cells, as well as handling features such as spanning and merged cells. The goal is to convert visual or textual table representations into a structured, machine-readable format.
The task typically comprises two interrelated subtasks: table detection, which locates and isolates tables in a
Common techniques include region-based object detection, sequence labeling, graph-based representations of tables, and models that reason
Applications of tabelstrukturgenkendelse include digitizing printed or scanned documents, extracting data from financial reports, scientific papers,