Review of chart image detection and classification
F Bajić, J Job - International Journal on Document Analysis and …, 2023 - Springer
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 …
chart image detection and classification up to date. A set of 89 scientific papers is collected …
Parsing line chart images using linear programming
H Kato, M Nakazawa, HK Yang… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …
particular we focus on the task of estimating line charts, as the most common chart type, in a …
A multi-purpose shallow convolutional neural network for chart images
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 …
expansion in various fields, it is necessary to develop computer algorithms that can easily …
Chartreader: Automatic parsing of bar-plots
C Rane, SM Subramanya, DS Endluri… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
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 …
predominant method used to represent trends and relationships in data. However, manually …
Challenges in chart image classification: a comparative study of different deep learning methods
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 …
or commercial trends. They provide an abstraction of the underlying information in a more …
A Survey on Figure Classification Techniques in Scientific Documents
A Dhote, M Javed, DS Doermann - arXiv preprint arXiv:2307.05694, 2023 - arxiv.org
Figures visually represent an essential piece of information and provide an effective means
to communicate scientific facts. Recently there have been many efforts toward extracting …
to communicate scientific facts. Recently there have been many efforts toward extracting …
A survey and approach to chart classification
A Dhote, M Javed, DS Doermann - International Conference on Document …, 2023 - Springer
Charts represent an essential source of visual information in documents and facilitate a
deep understanding and interpretation of information typically conveyed numerically. In the …
deep understanding and interpretation of information typically conveyed numerically. In the …
Classification of scatter plot images using deep learning
D Bırant, A Akça, B Bozkurt, M Bağlan - Dokuz Eylül Üniversitesi …, 2022 - dergipark.org.tr
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 …
documents such as articles, books, and dissertations. However, the information given in the …
Evaluation of Shallow Convolutional Neural Network in Open-World Chart Image Classification
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 …
comprehension challenges. Data visualizations like charts have emerged as crucial tools for …