Graphical Drop Caps Indexing

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

Abstract

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.

Keywords

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

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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

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