Advertisement

Automatic Metadata Retrieval from Ancient Manuscripts

  • Frank Le Bourgeois
  • Hala Kaileh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

The paper presents a document analysis system to retrieve metadata from digitized ancient manuscripts. This platform has been developed to assist researchers, historians and libraries to process a wide variety of manuscripts written in different languages. In order to retrieve different metadata from various digitized documents, we propose a user-training system, which use robust approaches based on a sequential bottom-up process. We develop a low-level segmentation and a basic recognition stage which do not use prior knowledge on documents contents. Our objective was to study the feasibility to process a large variety of manuscripts with the same platform, which can be used by non-specialists in image analysis.

Keywords

Digitize Document Document Image Analysis Regular Text Metadata Extraction Chapter Title 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    LeBourgeois, F., et al.: Document Images Analysis Solutions for Digital Libraries. In: Proc. Of the DIAL 2004, Palo Alto, California, January 23-24, pp. 2–24 (2004)Google Scholar
  2. 2.
    Kaileh, H.: L’accès à distance aux manucrits arabes numérisés en mode image. PhD, university Lyon II, France, January 28, p. 445 (2004)Google Scholar
  3. 3.
    Leydier, Y., et al.: Serialized k-means for adaptative color image segmentation. In: Marinai, S., Dengel, A.R. (eds.) DAS 2004. LNCS, vol. 3163, pp. 252–263. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  4. 4.
    Serra, J.: Image analysis and mathematical morphology. Academic Press, London (1982)zbMATHGoogle Scholar
  5. 5.
    Bres, S., Jolion, J.-M., Le Bourgeois, F.: Traitement et analyse des images numériques, Hermes, p. 412 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Frank Le Bourgeois
    • 1
  • Hala Kaileh
    • 2
  1. 1.LIRISINSA de LyonFrance
  2. 2.ENSSIB-Université Lumière Lyon IIFrance

Personalised recommendations