Review of chart recognition in document images

Yan Liu; Xiaoqing Lu; Yeyang Qin; Zhi Tang; Jianbo Xu

doi:10.1117/12.2008467

4 February 2013 Review of chart recognition in document images

Yan Liu, Xiaoqing Lu, Yeyang Qin, Zhi Tang, Jianbo Xu

Proceedings Volume 8654, Visualization and Data Analysis 2013; 865410 (2013) https://doi.org/10.1117/12.2008467
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

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.

Citation Download Citation

Yan Liu, Xiaoqing Lu, Yeyang Qin, Zhi Tang, and Jianbo Xu "Review of chart recognition in document images", Proc. SPIE 8654, Visualization and Data Analysis 2013, 865410 (4 February 2013); https://doi.org/10.1117/12.2008467

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