Abstract Chart Visualizations (CharVis) such as charts/plots and diagrams are commonly
used in documents for representing the underlying quantitative information. However, the …

Charts are useful communication tools for the presentation of data in a visually appealing
format that facilitates comprehension. There have been many studies dedicated to chart …

Graphs has been a ubiquitous way of representing heterogeneous data. There are many
studies focused on graph learning highlighting the approaches for graph data extraction …

Extracting underlying data from rasterized charts is tedious and inaccurate; values might be
partially occluded or hard to distinguish, and the quality of the image limits the precision of …

Charts are often used for the graphical representation of tabular data. Due to their vast
expansion in various fields, it is necessary to develop computer algorithms that can easily …

This work summarizes the results of the second Competition on Harvesting Raw Tables from
Infographics (ICPR 2020 CHART-Infographics). Chart Recognition is difficult and …

The outcomes of the third Challenge on HArvesting Raw Tables from Infographics (ICPR
2022 CHART-Infographics) are presented in this work. Recognizing charts is a difficult …

The digitization of documents allows for wider accessibility and reproducibility. While
automatic digitization of document layout and text content has been a long-standing focus of …

Scientific figures such as bar graphs are a critical part of scientific research and a
predominant method used to represent trends and relationships in data. However, manually …

Data extraction from line-chart images is an essential component of the automated
document understanding process, as line charts are a ubiquitous data visualization format …