• DocumentCode
    923047
  • Title

    The Viterbi algorithm as an aid in text recognition (Corresp.)

  • Author

    Neuhoff, David L.

  • Volume
    21
  • Issue
    2
  • fYear
    1975
  • fDate
    3/1/1975 12:00:00 AM
  • Firstpage
    222
  • Lastpage
    226
  • Abstract
    The results of an experiment are described in which contextual information is used to improve the performance of an optical character reader when reading English text. Specifically, English is modeled as a Markov source and the Viterbi algorithm is used to do maximum a posteriori sequence estimation on the output of an optical character reader (OCR).
  • Keywords
    Character recognition; Sequence estimation; Viterbi decoding; maximum-likelihood (ML) estimation; Character recognition; Dictionaries; Frequency estimation; Humans; Maximum likelihood estimation; Natural languages; Optical character recognition software; Text recognition; Viterbi algorithm; Vocabulary;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1975.1055355
  • Filename
    1055355
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=923047