Hough-based model for recognizing bar charts in document images

YanPing Zhou; Chew Lim Tan

doi:10.1117/12.410854

21 December 2000 Hough-based model for recognizing bar charts in document images

YanPing Zhou, Chew Lim Tan

Proceedings Volume 4307, Document Recognition and Retrieval VIII; (2000) https://doi.org/10.1117/12.410854
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Bar charts are the most basic graphic representation for scientific data in technical and business papers. The objective of bar chart recognition in document image analysis is to extract graphics and text primitives structurally, then to correlate graphic interpretative information with text primitives semantically. This paper proposes a new model for generic bar chart recognition. We first change the image space into the Hough space by applying Hough Transform on the feature points. Then we use hypothesis-testing bar pattern searching algorithm to detect the bar patterns. We also apply a new text primitives grouping algorithm to extract text primitives. Finally, we interpret bar primitives by correlating them with corresponding text primitives like human's visual processing. The results show that the new model can recognize bar charts lying in any orientations, such as slant bar charts, or even hand-drawn bar charts.

Citation Download Citation

YanPing Zhou and Chew Lim Tan "Hough-based model for recognizing bar charts in document images", Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); https://doi.org/10.1117/12.410854

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