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Line Chart Recognition and Data Extraction Technique

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2690))

Abstract

This paper presents a system for recognizing line chart and extraction of data from the chart. This system includes three parts: preprocessing of the chart image, detection of line chart area bounded by the coordinate axes and the extraction of data from the detected chart area. The axes are detected using the projection method taking over the chart image. Then all the texts are filtered by connected component analysis. The data are extracted from the chart using sequential scanning process through the region of the line chart and calculating the relative distance of the data points from the both axes.

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References

  1. Molla, M.K.I., Debnath, R.C., Ali, M.G.: Data Extraction from Graph-Image and Formation of Equation. In: International Conference on Computer and Information Technology (ICCIT). Shahjalal University, Sylhet (1999)

    Google Scholar 

  2. Zhou, Y.: Chew Lim Tan: Learning-Based Scientific Chart Recognition. In: Graphics Recognition Workshop (GREC), pp. 482–492, Kingston, Ontario, Canada (2001)

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  3. Zhou, Y., Tan, C.L.: Hough Technique for Bar Charts Detection and Recognition in Document Images. In: ICIP 2000 International Conference on Image Processing, Vancouver, Canada, vol. II, pp. 605–608 (2000)

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  4. Talukder, K.H., Molla, M.K.I.: Performance Analysis of Back- Propagation Learning Algorithm for Handwritten Digit Classification. In: INMIC 2002 International Multi Topic Conference (IEEE—KIIT), Karachi, Pakistan (2002)

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  5. Molla, M.K.I., Talukder, K.H.: Bangla Number Extraction and Recognition from Document Image. In: International Conference on Computer and Information Technology (ICCIT). East West University, Dhaka (2002)

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  6. Wang, D., Shihari, S.N.: Analysis of Form Images. Department of Computer Science. State University of New York at Buffalo, Buffalo, USA, 14228–2567

    Google Scholar 

  7. Mukundan, R.: Binary Vision Algorithms in Java. Faculty of Information Technology. Multimedia University, 75450 Melaka, Malaysia

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Molla, M.K.I., Talukder, K.H., Hossain, M.A. (2003). Line Chart Recognition and Data Extraction Technique. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_120

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  • DOI: https://doi.org/10.1007/978-3-540-45080-1_120

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40550-4

  • Online ISBN: 978-3-540-45080-1

  • eBook Packages: Springer Book Archive

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