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Use of Perceptive Vision for Ruling Recognition in Ancient Documents

  • Aurélie Lemaitre
  • Bertrand Coüasnon
  • Jean Camillerapp
Conference paper
  • 493 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6020)

Abstract

Rulings are graphical primitives that are essential for document structure recognition. However in the case of ancient documents, bad printing techniques or bad conditions of conservation induce problems for their efficient recognition. Consequently, usual line segment extractors are not powerful enough to properly extract all the rulings of a heterogeneous document. In this paper, we propose a new method for ruling recognition, based on perceptive vision: we show that combining several levels of vision improves ruling recognition. Thus, it is possible to put forward hypothesis on the nature of the rulings at a given resolution, and to confirm or infirm their presence and find their exact position at higher resolutions.

We propose an original strategy of cooperation between resolutions and present tools to set up a correspondence between the elements extracted at each resolution. We validate this approach on images of ancient newspaper pages (dated between 1848 and 1944). We also propose to use the extracted rulings for the structure analysis of newspaper pages. We show that using more reliable extracted rulings simplifies and improves document structure recognition.

Keywords

Line Segment Text Line Newspaper Page Perceptive Vision Abstract Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Coüasnon, B.: DMOS, a generic document recognition method: Application to table structure analysis in a general and in a specific way. International Journal on Document Analysis and Recognition, IJDAR 8(2), 111–122 (2006)CrossRefGoogle Scholar
  2. 2.
    Gatos, B., Mantzaris, S.L., Chandrinos, K.V., Tsigris, A., Perantonis, S.J.: Integrated algorithms for newspaper page decomposition and article tracking. In: ICDAR 1999: Proceedings of the Fifth International Conference on Document Analysis and Recognition, p. 559. IEEE Computer Society, Washington (1999)CrossRefGoogle Scholar
  3. 3.
    Gatos, B., Mantzaris, S.L., Antonacopoulos, A.: First international newspaper segmentation contest. In: International Conference on Document Analysis and Recognition (ICDAR 2001), p. 1190. IEEE Computer Society, Los Alamitos (2001)CrossRefGoogle Scholar
  4. 4.
    Hadjar, K., Hitz, O., Ingold, R.: Newspaper page decomposition using a split and merge approach. In: International Conference on Document Analysis and Recognition (ICDAR 2001), p. 1186. IEEE Computer Society, Los Alamitos (2001)CrossRefGoogle Scholar
  5. 5.
    Hori, O., Doermann, D.S.: Robust table-form structure analysis based on box-driven reasoning. In: ICDAR, pp. 218–221 (1995)Google Scholar
  6. 6.
    Lemaitre, A., Camillerapp, J., Coüasnon, B.: Multiresolution cooperation improves document structure recognition. International Journal on Document Analysis and Recognition (IJDAR) 11(2), 97–109 (2008)CrossRefGoogle Scholar
  7. 7.
    Leplumey, I., Camillerapp, J., Queguiner, C.: Kalman filter contributions towards document segmentation. In: Proceedings of International Conference on Document Analysis and Recognition (ICDAR 1995), pp. 765–769 (1995)Google Scholar
  8. 8.
    Liu, F., Luo, Y., Hu, D., Yoshikawa, M.: A new component based algorithm for newspaper layout analysis. In: International Conference on Document Analysis and Recognition (ICDAR 2001), p. 1176. IEEE Computer Society, Los Alamitos (2001)Google Scholar
  9. 9.
    Xi, D., Lee, S.W.: Extraction of reference lines and items from form document images with complicated background. Pattern Recognition 38(2), 289–305 (2005)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Aurélie Lemaitre
    • 1
  • Bertrand Coüasnon
    • 2
  • Jean Camillerapp
    • 2
  1. 1.Université de Rennes 1Rennes
  2. 2.INSA, Avenue des Buttes de Coësmes, F-35043 Rennes, UMR IRISA, Campus de Beaulieu, F-35042 Rennes, Université Européenne de BretagneFrance

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