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 …

Automatic chart to text summarization is an effective tool for the visually impaired people
along with providing precise insights of tabular data in natural language to the user. A large …

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 …

After region segmentation, it is necessary to identify the functional labels of the segmented
regions. This is because OCR engines can only consider text regions. Presence of non-text …

Charts or scientific plots are widely used visualizations for efficient knowledge dissemination
from datasets. Nowadays, these charts are predominantly available in image format in print …

Data's role is pivotal in the era of internet technologies, but unstructured data poses
comprehension challenges. Data visualizations like charts have emerged as crucial tools for …

Information visualization such as bar-and line-charts are quite popular for understanding
large tabular data. But, interpreting information solely with different visualization techniques …

With the increase in the number of documents with various types of charts available on the
internet, automatic chart classification has become an essential task for various downstream …

Chart is one kind of ubiquitous information, which is widely utilized and easy for people to
understand. Due to there are so many different kinds and different styles of charts, it is not an …

Automated interpretation of digital images of charts in documents and the internet helps to
improve the accessibility of visual representation of data. One of the approaches for …