Skip to main content

Graph Based Keyword Spotting in Medieval Slavic Documents – A Project Outline

  • Conference paper
Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection (EuroMed 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8740))

Included in the following conference series:

Abstract

The objective of the planned project is to adapt a recent graph matching framework developed by the applicant to the problem of keyword spotting. The overall question to be answered is whether or not graph based representation and especially graph matching techniques can be beneficially employed for keyword spotting. For testing this novel keyword spotting framework, the Miroslav Gospels will be used. Miroslav Gospels is a 362-page illuminated manuscript Gospel Book on parchment with very rich decorations, which was inscribed on UNESCO’s Memory of the World Register in recognition of its historical value. It is one of the oldest surviving documents written in Old Church Slavonic. We plan to make the extracted word graphs from the Miroslav Gospels publicly available for further developments in graph based keyword spotting.

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. Ntzios, K., Pratikakis, I., Theodoridis, S., Perantonis, S.J., Konidaris, T., Gatos, B.: Keyword-guided word spotting in historical printed documents using synthetic data and user feedback. International Journal of Document Analysis and Recognition 9(2-4), 167–177 (2007)

    Article  Google Scholar 

  2. Antonacopoulos, A., Downton, A.C.: Special issue on the analysis of historical documents. International Journal on Document Analysis and Recognition 9(2), 75–77 (2007)

    Article  Google Scholar 

  3. Vinciarelli, A.: A survey on off-line cursive word recognition. Pattern Recognition 35(7), 1433–1446 (2002)

    Article  MATH  Google Scholar 

  4. Manmatha, R., Croft, W.B.: Word spotting: Indexing handwritten archives. In: Maybury, M.T. (ed.) Intelligent Multimedia Information Retrieval, pp. 43–64. MIT Press (1997)

    Google Scholar 

  5. Rath, T.M., Manmatha, R., Lavrenko, V.: A search engine for historical manuscript images. In: 27th International Conference on Research and Development in Information Retrieval, pp. 369–376 (2004)

    Google Scholar 

  6. Rocha, J., Pavlidis, T.: A shape analysis model with applications to a character recognition system. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(4), 393–404 (1994)

    Article  Google Scholar 

  7. Lu, S., Suen, C.: Hierarchical attributed graph representation and recognition of handwritten chinese characters. Pattern Recognition 24(7), 617–632 (1991)

    Article  Google Scholar 

  8. Suganthan, P.N., Yan, H.: Recognition of handprinted chinese characters by constrained graph matching. Image and Vision Computing 16(3), 191–201 (1998)

    Article  Google Scholar 

  9. Fischer, A., Suen, C.Y., Frinken, V., Riesen, K., Bunke, H.: A fast matching algorithm for graph-based handwriting recognition. In: Kropatsch, W.G., Artner, N.M., Haxhimusa, Y., Jiang, X. (eds.) GbRPR 2013. LNCS, vol. 7877, pp. 194–203. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  10. Bunke, H., Varga, T.: Offline Roman cursive handwriting recognition. In: Chaudhuri, B. (ed.) Digital Document Processing, pp. 165–173. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Дигитална Народна библиотека Србије (Digital National Library of Serbia), http://scc.digital.bkp.nb.rs/collection/miroslavljevo-jevandjelje

  12. World Digital Library, Title: Miroslav’s Gospel, http://www.wdl.org/en/item/2363/#institution=national-library-of-serbia

  13. Rath, T.M., Manmatha, R.: Word spotting for historical documents. International Journal on Document Analysis and Recognition, 139–152 (2007)

    Google Scholar 

  14. Riesen, K., Brodic, D.: Graph based keyword spotting in handwritten historical slavic documents. ERCIM News 2013(95), 37–38 (2013)

    Google Scholar 

  15. Bunke, H.: Error correcting graph matching: On the influence of the underlying cost function. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(9), 917–911 (1999)

    Google Scholar 

  16. Ferrer, M., Valveny, E., Serratosa, F., Riesen, K., Bunke, H.: An approximate algorithm for median graph computation using graph embedding. In: 19th International Conference on Pattern Recognition, IEEE (2008)

    Google Scholar 

  17. Ferrer, M., Valveny, E., Serratosa, F.: Median graphs: A genetic approach based on new theoretical properties. Pattern Recognition 42(9), 2003–2012 (2009)

    Article  MATH  Google Scholar 

  18. Ferrer, M., Valveny, E., Serratosa, F.: Median graph: A new exact algorithm using a distance based on the maximum common subgraph. Pattern Recognition Letters 30(5), 579–588 (2009)

    Article  Google Scholar 

  19. Riesen, K., Bunke, H.: Graph classification based on vector space embedding. International Journal of Pattern Recognition and Artificial Intelligence 23(6), 1053–1081 (2008)

    Article  MathSciNet  Google Scholar 

  20. Schölkopf, B., Smola, A.: Learning with Kernels. MIT Press (2002)

    Google Scholar 

  21. Bahlmann, C., Haasdonk, B., Burkhardt, H.: On-line handwriting recognition with support vector machines. In: International Workshop on Frontiers in Handwriting Recognition, pp. 49–54 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Riesen, K., Brodić, D., Milivojević, Z.N., Maluckov, Č.A. (2014). Graph Based Keyword Spotting in Medieval Slavic Documents – A Project Outline. In: Ioannides, M., Magnenat-Thalmann, N., Fink, E., Žarnić, R., Yen, AY., Quak, E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2014. Lecture Notes in Computer Science, vol 8740. Springer, Cham. https://doi.org/10.1007/978-3-319-13695-0_74

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13695-0_74

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13694-3

  • Online ISBN: 978-3-319-13695-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics