Skip to main content

A Non-symmetrical Method of Image Local-Difference Comparison for Ancient Impressions Dating

  • Conference paper
Graphics Recognition. Recent Advances and New Opportunities (GREC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5046))

Included in the following conference series:

Abstract

In this article, we focus on the dating of images (impressions, ornamental letters) printed starting from the same stamp. This difficult task needs a good observation of the differences between the compared images. We present a method, based on a local adaptation of the Hausdorff distance, that evaluates locally the image differences. It allows the user to visualize these differences. A description of the pertinent differences for the dating allows us to evaluate our method visualization ability. Then our method is successfully compared to the existing method. Finally, a framework for a future automatic dating method is presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baird, H.S.: Digital library and document image analysis. In: Proc. of the 7th Int. Conf. on Document Analysis and Recognition (ICDAR), IAPR, pp. 1–13 (2003)

    Google Scholar 

  2. Baudrier, E., Riffaud, A.: A method for image local-difference visualization. In: Proc. of the 9th Int. Conf. on Document Analysis and Recognition (ICDAR), Brazil, IAPR (2007)

    Google Scholar 

  3. Huttenlocher, D.P., Klanderman, D., Rucklidge, W.J.: Comparing images using the Hausdorff distance. Trans. on Pattern Analysis and Machine Intel. 15(9), 850–863 (1993)

    Article  Google Scholar 

  4. Takàcs, B.: Comparing faces using the modified Hausdorff distance. Pattern Recognition 31(12), 1873–1881 (1998)

    Article  Google Scholar 

  5. Paumard, J.: Robust comparison of binary images. Pattern Recognition Letters 18(10), 1057–1063 (1997)

    Article  Google Scholar 

  6. Dubuisson, M.P., Jain, A.K.: A modified Hausdorff distance for object matching. In: Proc. of the Int. Conf. on Pattern Recognition (ICPR), IAPR, pp. 566–568 (1994)

    Google Scholar 

  7. Sim, D.G., Kwon, O.K., Park, R.H.: Object matching algorithms using robust Hausdorff distance measures. IEEE Trans. on Image Processing 8(3), 425–429 (1999)

    Article  Google Scholar 

  8. Lu, Y., Tan, C., Huang, W., Fan, L.: An approach to word image matching based on weighted Hausdorff distance. In: Proc. 6th Internat. Conf. on Document Anal. Recogn., pp. 921–925 (2001)

    Google Scholar 

  9. Zhao, C., Shi, W., Deng, Y.: A new Hausdorff distance for image matching. Pattern Recognition Letters (2004)

    Google Scholar 

  10. Baudrier, E., Millon, G., Nicolier, F., Ruan, S.: Binary-image comparison with local-dissimilarity quantification. Pattern Recognition 41(5), 1461–1478 (2008)

    Article  MATH  Google Scholar 

  11. Ramel, J., Busson, S., Demonet, M.: Agora: the interactive document image analysis tool of the BVH project. In: Conf. on Document Image Analysis for Library, pp. 145–155 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Wenyin Liu Josep Lladós Jean-Marc Ogier

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Baudrier, É., Girard, N., Ogier, JM. (2008). A Non-symmetrical Method of Image Local-Difference Comparison for Ancient Impressions Dating. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88188-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88184-1

  • Online ISBN: 978-3-540-88188-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics