Skip to main content

Decapod: A Flexible, Low Cost Digitization Solution for Small and Medium Archives

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7139))

Abstract

Scholarly content needs to be online, and for much mass produced content, that migration has already happened. Unfortunately, the online presence of scholarly content is much more sporadic for long tail material such as small journals, original source materials in the humanities and social sciences, non-journal periodicals, and more. A large barrier to this content being available is the cost and complexity of setting up a digitization project for small and scattered collections coupled with a lack of revenue opportunities to recoup those costs. Collections with limited audiences and hence limited revenue opportunities are nonetheless often of considerable scholarly importance within their domains. The expense and difficulty of digitization presents a significant obstacle to making such paper archives available online. To address this problem, the Decapod project aims at providing a solution that is primarily suitable for small to medium paper archives with material that is rare or unique and is of sufficient interest that it warrants being made more widely available. This paper gives an overview of the project and presents its current status.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. van Beusekom, J., Shafait, F., Breuel, T.M.: Combined orientation and skew detection using geometric text-line modeling. International Journal on Document Analysis and Recognition 13(2), 79–92 (2010)

    Article  Google Scholar 

  2. Bloomberg, D.S.: Multiresolution morphological approach to document image analysis. In: Proc. Int. Conf. on Document Analysis and Recognition, St. Malo, France, pp. 963–971 (1991)

    Google Scholar 

  3. Breuel, T.M.: The OCRopus open source OCR system. In: Proc. SPIE Document Recognition and Retrieval XV, San Jose, CA, USA, pp. 0F1–0F15 (January 2008)

    Google Scholar 

  4. Brown, M., Seales, W.: Document restoration using 3d shape: A general deskewing algorithm for arbitrarily warped documents. In: Proc. Int. Conf. on Computer Vision, pp. 367–374 (July 2001)

    Google Scholar 

  5. Bukhari, S.S., Shafait, F., Breuel, T.M.: Dewarping of document images using coupled-snakes. In: Proc. Int. Workshop on Camera-Based Document Analysis and Recognition, Barcelona, Spain, pp. 34–41 (July 2009)

    Google Scholar 

  6. Bukhari, S.S., Shafait, F., Breuel, T.M.: Improved document image segmentation algorithm using multiresolution morphology. In: SPIE Document Recognition and Retrieval XVIII, San Francisco, USA (January 2011)

    Google Scholar 

  7. Cutter, M.P., van Beusekom, J., Shafait, F., Breuel, T.M.: Unsupervised font reconstruction based on token co-occurrence. In: 10th ACM Symposium on Document Engineering, Manchester, UK (September 2010)

    Google Scholar 

  8. Cutter, M.P., van Beusekom, J., Shafait, F., Breuel, T.M.: Font group identification using reconstructed fonts. In: SPIE Document Recognition and Retrieval XVIII, San Francisco, USA (January 2011)

    Google Scholar 

  9. Keysers, D., Shafait, F., Breuel, T.M.: Document image zone classification - a simple high-performance approach. In: 2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, pp. 44–51 (March 2007)

    Google Scholar 

  10. Selinger, P.: Potrace: a polygon-based tracing algorithm (2003), http://potrace.sourceforge.net

  11. Shafait, F., van Beusekom, J., Keysers, D., Breuel, T.M.: Document cleanup using page frame detection. International Journal on Document Analysis and Recognition 11(2), 81–96 (2008)

    Article  Google Scholar 

  12. Shafait, F., Breuel, T.M.: Document image dewarping contest. In: Proc. Int. Workshop on Camera-Based Document Analysis and Recognition, Curitiba, Brazil, pp. 181–188 (September 2007)

    Google Scholar 

  13. Shafait, F., Breuel, T.M.: The effect of border noise on the performance of projection based page segmentation methods. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(4), 846–851 (2011)

    Article  Google Scholar 

  14. Shafait, F., Keysers, D., Breuel, T.M.: Performance evaluation and benchmarking of six page segmentation algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(6), 941–954 (2008)

    Article  Google Scholar 

  15. Ulges, A., Lampert, C., Breuel, T.M.: Document capture using stereo vision. In: Proc. ACM Symposium on Document Engineering, pp. 198–200. ACM (2004)

    Google Scholar 

  16. Vincent, L.: Google book search: Document understanding on a massive scale. In: Int. Conf. on Document Analysis and Recognition, Curitiba, Brazil, pp. 819–823 (September 2007)

    Google Scholar 

  17. Yamashita, A., Kawarago, A., Kaneko, T., Miura, K.: Shape reconstruction and image restoration for non-flat surfaces of documents with a stereo vision system. In: Proc. Int. Conf. on Pattern Recognition, pp. 482–485 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shafait, F., Cutter, M.P., van Beusekom, J., Bukhari, S.S., Breuel, T.M. (2012). Decapod: A Flexible, Low Cost Digitization Solution for Small and Medium Archives. In: Iwamura, M., Shafait, F. (eds) Camera-Based Document Analysis and Recognition. CBDAR 2011. Lecture Notes in Computer Science, vol 7139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29364-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29364-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29363-4

  • Online ISBN: 978-3-642-29364-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics