• DocumentCode
    3058339
  • Title

    Temporal clues in handwriting

  • Author

    Doermann, David S. ; Rosenfeld, Azriel

  • Author_Institution
    Comput. Vision Lab., Maryland Univ., College Park, MD, USA
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    Handwritten character recognition is typically classified as online or offline depending on the nature of the input data. Online data consists of a temporal sequence of instrument positions while offline data is in the form of a 2D image of the writing sample. Online recognition techniques have been relatively successful but have the disadvantage of requiring the data to be gathered during the writing process. This paper presents work on the extraction of temporal information from static images of handwriting and its implications for character recognition
  • Keywords
    character recognition; feature extraction; character recognition; handwriting recognition; offline techniques; online techniques; temporal information extraction; Character recognition; Computer vision; Handwriting recognition; Instruments; Pattern recognition; Shape; Signal processing; Space technology; Text recognition; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2915-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201781
  • Filename
    201781