ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart

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 easy task for a computer to recognize a chart, as well as to redraw the chart or redesign it. This study prop...

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Main Authors: Lingmei Zhang, Guangxia Wang, Lingyu Chen
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/9559430
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author Lingmei Zhang
Guangxia Wang
Lingyu Chen
author_facet Lingmei Zhang
Guangxia Wang
Lingyu Chen
author_sort Lingmei Zhang
collection DOAJ
description 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 easy task for a computer to recognize a chart, as well as to redraw the chart or redesign it. This study proposes a three-stage method to chart recognition: analyze the classification of charts, analyze the structure of charts, and analyze the content of charts. When classifying charts, we choose ResNet-50. When recognizing the structure and content of charts, we use different deep frameworks to extract key points based on different types of charts. Besides, we also introduce two datasets, UCCD and UCID, to train deep models to classify and recognize charts. Finally, we utilize some traditional geometric methods to obtain an original table of a chart, so we can redraw it.
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institution Kabale University
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publishDate 2021-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-c92377e89f3142bfa8a58f9334f58a332025-02-03T07:24:13ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/9559430ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign ChartLingmei Zhang0Guangxia Wang1Lingyu Chen2Information Engineering UniversityInformation Engineering UniversityInformation Engineering UniversityChart 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 easy task for a computer to recognize a chart, as well as to redraw the chart or redesign it. This study proposes a three-stage method to chart recognition: analyze the classification of charts, analyze the structure of charts, and analyze the content of charts. When classifying charts, we choose ResNet-50. When recognizing the structure and content of charts, we use different deep frameworks to extract key points based on different types of charts. Besides, we also introduce two datasets, UCCD and UCID, to train deep models to classify and recognize charts. Finally, we utilize some traditional geometric methods to obtain an original table of a chart, so we can redraw it.http://dx.doi.org/10.1155/2021/9559430
spellingShingle Lingmei Zhang
Guangxia Wang
Lingyu Chen
ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart
Discrete Dynamics in Nature and Society
title ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart
title_full ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart
title_fullStr ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart
title_full_unstemmed ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart
title_short ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart
title_sort chartmaster an end to end method to recognize redraw and redesign chart
url http://dx.doi.org/10.1155/2021/9559430
work_keys_str_mv AT lingmeizhang chartmasteranendtoendmethodtorecognizeredrawandredesignchart
AT guangxiawang chartmasteranendtoendmethodtorecognizeredrawandredesignchart
AT lingyuchen chartmasteranendtoendmethodtorecognizeredrawandredesignchart