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 …

Many information visualization techniques map abstract data into visual representations to
present the underlying information in a more understandable way. However, when data is …

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 …

Chart images are commonly used for data visualization. Automatically reading the chart
values is a key step for chart content understanding. Charts have a lot of variations in style …

Charts are frequently embedded objects in digital documents and are used to convey a clear
analysis of research results or commercial data trends. These charts are created through …

Visual chart recognition systems are gaining increasing attention due to the growing
demand for automatically identifying table headers and values from chart images. Current …

Automatic data extraction from charts is challenging for two reasons: there exist many
relations among objects in a chart, which is not a common consideration in general …

The charts are very much convenient way to represent the complex data into simple pictorial
based representation. Every chart type has variations in its characteristics, structure, and …

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 …

This article describes an approach to automatic recognition of charts images using neural
networks with hybrid deep learning model, which allows to extract data from an image and …