• DocumentCode
    3646742
  • Title

    Pruning large lexicons using generalized word shape descriptors

  • Author

    S. Madhvanath;V. Krpasundar

  • Author_Institution
    Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA
  • Volume
    2
  • fYear
    1997
  • Firstpage
    552
  • Abstract
    We present a technique for pruning of large lexicons for recognition of cursive script words. The technique involves extraction and representation of downward pen-strokes from the cursive word (off-line or online) to obtain a generalized descriptor which provides a coarse characterization of word shape. The descriptor is matched with ideal descriptors of lexicon entries organized as a trie. When used with a static lexicon of 21,000 words, the accuracy of reduction to 1000 words exceeds 95%.
  • Keywords
    "Shape","Handwriting recognition","USA Councils","Text analysis","Computer science","Computational efficiency","Concatenated codes","System performance","Data mining","Yttrium"
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
  • Print_ISBN
    0-8186-7898-4
  • Type

    conf

  • DOI
    10.1109/ICDAR.1997.620561
  • Filename
    620561