Graphical Drop Caps Indexing

  • Hassan Chouaib
  • Florence Cloppet
  • Nicole Vincent
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6020)


This paper presents a method for graphical drop caps indexing. Drop caps are extracted from old books. Finding a method classifying them according to styles defined by the historian is of considerable interest. The developed method is a statistical approach, where all possible patterns included in a pixel mask are processed in order to extract indexes that characterize the image. Then these indexes are used to classify a query drop cap by searching its most similar drop caps in the indexed base.


Graphics Recognition Graphics indexing Zipf law tf-idf Drop caps law mixture 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Jiang, Y.-G., Ngo, C.-W., Yang, J.: Towards Optimal Bag-of-Features for Object Categorization and Semantic Video Retrieval. In: International Conference on Image and Video Retrieval, CIVR 2007 (2007)Google Scholar
  2. 2.
    Jones, K.S.: Experiments in relevance weighting of search terms. Information Processing and Management 15, 133–144 (1979)CrossRefGoogle Scholar
  3. 3.
    Coustaty, M., Ogier, J.-M., Pareti, R., Vincent, N.: Drop Caps Decomposition For Indexing A New Letter Extraction Method. In: ICDAR 2009 (2009)Google Scholar
  4. 4.
    Pareti, R., Vincent, N.: Ancient letters indexing. In: International Conference on Patteri Recognition ICPR (2006)Google Scholar
  5. 5.
    Salton, G., Wong, A., Yang, C.S.: A Vector Space Model for Auto- Page 46, 50, 74 matic Indexing. Communications of the ACM 18, 613–620 (1975)zbMATHCrossRefGoogle Scholar
  6. 6.
    Salton, G., Allan, J.: Automatic Text Decomposition and Structuring. In: Proceedings RIAO 1994 Conference, CID, Paris, October 1994, pp. 6–20 (1994)Google Scholar
  7. 7.
    Gadat, S., Younes, L.: Stochastic Algorithm for Feature Selection in Pattern Recognition. Journal of Machine Learning Research 8, 509–547 (2007)Google Scholar
  8. 8.
    Caron, Y., Makris, P., Vincent, N.: Use of power law models in detecting region of interest. Pattern Recognition 40, 2521–2529 (2007)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hassan Chouaib
    • 1
  • Florence Cloppet
    • 1
  • Nicole Vincent
    • 1
  1. 1.Laboratoire CRIP5Paris Descartes University – Paris 5ParisFrance

Personalised recommendations