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Proceedings Paper

Review of chart recognition in document images
Author(s): Yan Liu; Xiaoqing Lu; Yeyang Qin; Zhi Tang; Jianbo Xu
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Paper Abstract

As an effective information transmitting way, chart is widely used to represent scientific statistics datum in books, research papers, newspapers etc. Though textual information is still the major source of data, there has been an increasing trend of introducing graphs, pictures, and figures into the information pool. Text recognition techniques for documents have been accomplished using optical character recognition (OCR) software. Chart recognition techniques as a necessary supplement of OCR for document images are still an unsolved problem due to the great subjectiveness and variety of charts styles. This paper reviews the development process of chart recognition techniques in the past decades and presents the focuses of current researches. The whole process of chart recognition is presented systematically, which mainly includes three parts: chart segmentation, chart classification, and chart Interpretation. In each part, the latest research work is introduced. In the last, the paper concludes with a summary and promising future research direction.

Paper Details

Date Published: 4 February 2013
PDF: 8 pages
Proc. SPIE 8654, Visualization and Data Analysis 2013, 865410 (4 February 2013); doi: 10.1117/12.2008467
Show Author Affiliations
Yan Liu, Peking Univ. (China)
Peking Univ. Founder Group Co., Ltd. (China)
Zhongguancun Haidian Science Park (China)
Xiaoqing Lu, Peking Univ. (China)
Yeyang Qin, Peking Univ. (China)
Zhi Tang, Peking Univ. (China)
Jianbo Xu, Peking Univ. Founder Group Co., Ltd. (China)

Published in SPIE Proceedings Vol. 8654:
Visualization and Data Analysis 2013
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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