• DocumentCode
    3023479
  • Title

    Writing speed normalization for on-line handwritten text recognition

  • Author

    Pastor, Moisés ; Toselli, Alejandro ; Vidal, Enrique

  • Author_Institution
    Inst. Tecnologic d´´Informatica, Univ. Politecnica de Valencia, Spain
  • fYear
    2005
  • fDate
    29 Aug.-1 Sept. 2005
  • Firstpage
    1131
  • Abstract
    Pen-based interfaces aim at improving the man-machine interaction of many portable systems. While statistical models can be used to learn pen position sequences, they suffer from the huge variability exhibited by the speed of writing. To improve performance, invariance to the writing speed is needed. Trace segmentation is a technique that can be used to normalize the writing speed. This method is controlled by a parameter called resampling distance. A study of the resampling distance is presented here, along with another approximation to the writing speed normalization called "derivatives normalization". The improvement using trace segmentation was 193% relative to the baseline, whilst the improvement using derivatives normalization was 47.3% relative.
  • Keywords
    handwritten character recognition; text analysis; derivatives normalization; man-machine interaction; on-line handwritten text recognition; pen position sequence learning; pen-based interfaces; portable systems; resampling distance; statistical models; trace segmentation; writing speed normalization; Computer interfaces; Context; Handwriting recognition; Hidden Markov models; Keyboards; Man machine systems; Mobile computing; Portable computers; Text recognition; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
  • ISSN
    1520-5263
  • Print_ISBN
    0-7695-2420-6
  • Type

    conf

  • DOI
    10.1109/ICDAR.2005.257
  • Filename
    1575720