Skip to main content

Exploring Digital Libraries with Document Image Retrieval

  • Conference paper
Research and Advanced Technology for Digital Libraries (ECDL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4675))

Included in the following conference series:

Abstract

In this paper, we describe a system to perform Document Image Retrieval in Digital Libraries. The system allows users to retrieve digitized pages on the basis of layout similarities and to make textual searches on the documents without relying on OCR. The system is discussed in the context of recent applications of document image retrieval in the field of Digital Libraries. We present the different techniques in a single framework in which the emphasis is put on the representation level at which the similarity between the query and the indexed documents is computed. We also report the results of some recent experiments on the use of layout-based document image retrieval.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Doermann, D.: The indexing and retrieval of document images: A survey. Computer Vision and Image Understanding 70(3), 287–298 (1998)

    Article  Google Scholar 

  2. Mitra, M., Chaudhuri, B.: Information retrieval from documents: A survey. Information Retrieval 2(2/3), 141–163 (2000)

    Article  Google Scholar 

  3. Curtis, J.D., Chen, E.: Keyword spotting via word shape recognition. In: Proceedings of the SPIE - Document Recognition II, pp. 270–277 (1995)

    Google Scholar 

  4. Williams, W., Zalubas, E., Hero, A.: Word spotting in bitmapped fax documents. Information Retrieval 2(2/3), 207–226 (2000)

    Article  Google Scholar 

  5. Tan, C.L., Huang, W., Yu, Z., Xu, Y.: Imaged document text retrieval without OCR. IEEE Transactions on PAMI 24(6), 838–844 (2002)

    Google Scholar 

  6. Marinai, S., Marino, E., Soda, G.: Font adaptive word indexing of modern printed documents. IEEE Transactions on PAMI 28(8), 1187–1199 (2006)

    Google Scholar 

  7. Balasubramanian, A., Meshesha, M., Jawahar, C.: Retrieval from document image collections. In: Bunke, H., Spitz, A.L. (eds.) DAS 2006. LNCS, vol. 3872, pp. 1–12. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  8. Jain, A., Vailaya, A.: Shape-based retrieval: a case study with trademark image databases. Pattern Recognition 31(9), 1369–1390 (1998)

    Article  Google Scholar 

  9. Terrades, O.R., Valveny, E.: Radon transform for linear symbol representation. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 700–704 (2003)

    Google Scholar 

  10. Pareti, R., Uttama, S., Salmon, J., Ogier, J.M., Tabbone, S., Wendling, L., Adam, S., Vincent, N.: On defining signatures for the retrieval and the classification of graphical drop caps. In: Proc. Int.l. Workshop Document Image Analysis for Libraries, pp. 220–231. IEEE press, Los Alamitos (2006)

    Google Scholar 

  11. Rath, T., Manmatha, R.: Features for word spotting in historical manuscripts. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 218–222 (2003)

    Google Scholar 

  12. Jain, A.K., Namboodiri, A.M.: Indexing and retrieval of on-line handwritten documents. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 655–659 (2003)

    Google Scholar 

  13. Srihari, S.N., Shetty, S., Chen, S., Srinivasan, H., Huang, C., Adam, G., Frieder, O.: Document image retrieval using signatures as queries. In: Proc. Int.l. Workshop Document Image Analysis for Libraries, pp. 198–203. IEEE press, Los Alamitos (2006)

    Google Scholar 

  14. Hu, J., Kashi, R., Wilfong, G.: Comparision and classification of documents based on layout similarity. Information Retrieval 2(2/3), 227–243 (2000)

    Article  Google Scholar 

  15. Tzacheva, A., El-Sonbaty, Y., El-Kwae, E.A.: Document image matching using a maximal grid approach. In: Proceedings of the SPIE Document Recognition and Retrieval IX, pp. 121–128 (2002)

    Google Scholar 

  16. Marinai, S., Marino, E., Soda, G.: Layout based document image retrieval by means of XY tree reduction. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 432–436 (2005)

    Google Scholar 

  17. Duygulu, P., Atalay, V.: A hierarchical representation of form documents for identification and retrieval. International Journal on Document Analysis and Recognition 5(1), 17–27 (2002)

    Article  MATH  Google Scholar 

  18. Huang, M., DeMenthon, D., Doermann, D., Golebiowski, L.: Document ranking by layout relevance. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 362–366 (2005)

    Google Scholar 

  19. Liu, H., Feng, S., Zha, H., Liu, X.: Document image retrieval based on density distribution feature and key block feature. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 1040–1044 (2005)

    Google Scholar 

  20. Behera, A., Lalanne, D., Ingold, R.: Enhancement of layout-based identification of low-resolution documents using geometric color distribution. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 468–472 (2005)

    Google Scholar 

  21. Marukawa, K., Hu, T., Fujisawa, H., Shima, Y.: Document retrieval tolerating character recognition errors - evaluation and application. Pattern Recognition 30(8), 1361–1371 (1997)

    Article  Google Scholar 

  22. Madhvanath, S., Govindaraju, V.: The role of holistic paradigms in handwritten word recognition. IEEE Transactions on PAMI 23(2), 149–164 (2001)

    Google Scholar 

  23. Rath, T.M., Manmatha, R., Lavrenko, V.: A search engine for historical manuscript images. In: SIGIR 2004, pp. 369–376 (2004)

    Google Scholar 

  24. Kohonen, T.: Self-organizing maps. Springer Series in Information Sciences (2001)

    Google Scholar 

  25. Marinai, S., Marino, E., Soda, G.: Indexing and retrieval of words in old documents. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 223–227 (2003)

    Google Scholar 

  26. Nagy, G., Seth, S.: Hierarchical representation of optically scanned documents. In: Proc. 7th ICPR, pp. 347–349 (1984)

    Google Scholar 

  27. Marinai, S., Marino, E., Cesarini, F., Soda, G.: A general system for the retrieval of document images from digital libraries. In: Proc. Int.l. Workshop Document Image Analysis for Libraries, pp. 150–173. IEEE press, Los Alamitos (2004)

    Chapter  Google Scholar 

  28. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

László Kovács Norbert Fuhr Carlo Meghini

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Marinai, S., Marino, E., Soda, G. (2007). Exploring Digital Libraries with Document Image Retrieval. In: Kovács, L., Fuhr, N., Meghini, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2007. Lecture Notes in Computer Science, vol 4675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74851-9_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74851-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74850-2

  • Online ISBN: 978-3-540-74851-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics