Skip to main content

Content Based Indexing and Retrieval in a Digital Library of Arabic Scripts and Calligraphy

  • Conference paper
  • First Online:
Research and Advanced Technology for Digital Libraries (ECDL 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1923))

Included in the following conference series:

  • 931 Accesses

Abstract

Due the cursive nature of the Arabic scripts automatic recognition of keywords using computers is very difficult. Content based indexing using textual, graphical and visual information combined provides a more realistic and practical approach to the problem of indexing large collection of calligraphic material. Starting with low level patter recognition and feature extraction techniques, graphical representations of the calligraphic material can be captured to form the low level indexing parameters. These parameters are then enhanced using textual and visual information provided by the users. Through visual feedback and visual interaction, recognized textual information can be used to enhance the indexing parameter and in return improve the retrieval of the calligraphic material. In this paper, we report an implementation of the system and show how visual feedback and visual interaction helps to improve the indexing parameters created using the low-level image feature extraction technologies.

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. A. Al-Hawamdeh et. al. Nearest Neighbour searching in a picture archival system. Proceeding of the ACM International Conference on Multimedia and Information Systems. Singapore, Jan. 16-19, (1991) 17–33.

    Google Scholar 

  2. H. Al-Muallim, S. Yamaguchi A Method of recognition of Arabic cursive handwriting. IEEE Transaction on Pattern Analysis and Machine Intelligence. 9 (1987) 715–722.

    Article  Google Scholar 

  3. A. Amin, H. Al-Sadoun and S. Fischer. (1996) Hand-printed Arabic character recognition system using an artificial network. Pattern Recognition. 29 (1996) 663–675.

    Article  Google Scholar 

  4. D. H. Ballard Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition, 13 (2) (1981) 111–122.

    Article  Google Scholar 

  5. W. B. Croft, D. J. Harper. (1979) Using probabilistic models of document retrieval without relevance information. Journal of Documentation. 35 (1979) 285–295.

    Article  Google Scholar 

  6. A. R. Davies, and R. Wilson (1992) Curve and Corner Extraction using the Multiresolution Fourier Transform, International Conference on Image Processing and its Applications, (2992) pp. 282–285.

    Google Scholar 

  7. T. Hong, M. Shneier, and A. Rosenfeld (1982) Border Extraction using Linked Edge Pyramids. IEEE Transaction on System Management and Cybernetics, 12(5) (1982) 631–635.

    Google Scholar 

  8. P.V.C. Hough Method and means for recognizing complex patterns, U.S. Patent (1962) No. 3069654.

    Google Scholar 

  9. G. N. Khan, D. F. Gillies (1992) Extracting contours by perceptual grouping, Image and Vision Computing, 10 (2) (992) 77–88.

    Article  Google Scholar 

  10. G. N. Khan, D. F. Gillies A parallel-hierarchical method for grouping line segments into contours’, SPIE’s Proceedings of the 33rd International Symposium, Application of Digital Image Processing XII, San Diego, California (1989) pp. 237–246.

    Google Scholar 

  11. J. Alison Nobel (1988) Finding corners. Image and Vision Compueting. 6, (1988) 121–128.

    Article  Google Scholar 

  12. R. Price, T. S. Chua, S. Al-Hawamdeh. (1992) Applying relevance feedback to a photo archival system. Journal of Information Science, 8,(1992) 203–215.

    Article  Google Scholar 

  13. G. Salton, C. Buckly Term weighting approaces in automatic text retrieval. Information Processing and Management. 24 (1989) 513–523.

    Article  Google Scholar 

  14. K. Varsha, S. Ganesan (1998) “A Robust Hough Transform technique for Description of Multiple Line Segments in an Image”, (4–7 October) International Conference on Image Processing, 1 (1998) 216–220 (ISBN: 0-8186-8821-1)

    Google Scholar 

  15. W. Wehnu, A. V. Jose Segmentation of Planar Curves into Straight-line Segments and Elliptical Arcs. Graphical Models and Image Processing, 59(6) (1997) 484–494.

    Article  Google Scholar 

  16. Y. Wei, Circle Detection using Improved Generalized Hough Transform (IDHT). (6-10 July) IEEE International Conference on Geoscience and Remote Sensing Symposium IGARSS Vol.2 (1998)1190–1192, (ISBN: nu0-7803-4403-0)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Al-Hawamdeh, S., Khan, G.N. (2000). Content Based Indexing and Retrieval in a Digital Library of Arabic Scripts and Calligraphy. In: Borbinha, J., Baker, T. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2000. Lecture Notes in Computer Science, vol 1923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45268-0_2

Download citation

  • DOI: https://doi.org/10.1007/3-540-45268-0_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41023-2

  • Online ISBN: 978-3-540-45268-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics