Tables are everywhere, from scientific journals, articles, websites, and newspapers all the
way to items we buy at the supermarket. Detecting them is thus of utmost importance to …

Billions of documents in data sheet format are shared between various organizations across
the globe on a daily basis. The essential information in these documents is presented in …

Table recognition is using the computer to automatically understand the table, to detect the
position of the table from the document or picture, and to correctly extract and identify the …

The automated analysis of administrative documents is an important field in document
recognition that is studied for decades. Invoices are key documents among the documents …

The global Information and Communications Technology (ICT) supply chain is a complex
network consisting of all types of participants. It is often formulated as a Social Network to …

This paper presents TableExtractNet, a model that automatically finds and understands
tables from scanned documents, tasks that are essential for quick use of information in many …

Table structure recognition (TSR) aims to parse the inherent structure of a table from its input
image. The" split-and-merge" paradigm is a pivotal approach to parse table structure, where …

Due to the characteristics of Information and Communications Technology (ICT) products,
the critical information of ICT devices is often summarized in big tabular data shared across …

Automatically recovering the original structure of tables from unstructured images is a
challenging task, combining techniques from computer vision (CV) and natural language …

This paper presents a model that automatically finds and understands tables from scanned
documents—tasks that are essential for quick of using information in many fields. The model …