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

This paper presents a complete review of different approaches across all components of the
chart image detection and classification up to date. A set of 89 scientific papers is collected …

This paper proposes a method for automatically recovering data from chart images. In
particular we focus on the task of estimating line charts, as the most common chart type, in a …

Data charts are widely used in our daily lives, being present in regular media, such as
newspapers, magazines, web pages, books, and many others. In general, a well …

In recovering information from the chart image, the first step should be chart type
classification. Throughout history, many approaches have been used, and some of them …

Charts are commonly used forms of visualizing scientific observations from research findings
or commercial trends. They provide an abstraction of the underlying information in a more …

In this paper, we propose a new convolutional neural network (CNN) architecture to build a
multi-label classifier that categorizes line chart images according to their characteristics. The …

The visual or Non-Textual components like charts, graphs, and plots are frequently used to
represent the latent information in digital documents. These components bolster in better …

Scatter plot is one of the well-known charts and is frequently embedded in different types of
documents such as articles, books, and dissertations. However, the information given in the …

Charts are powerful tools for visualizing and comparing data. With the increase in the
presence of various chart types in scientific documents in electronic media, the development …