• DocumentCode
    594722
  • Title

    Part-based method on handwritten texts

  • Author

    Song Wang ; Uchida, Seiichi ; Liwicki, Marcus

  • Author_Institution
    Kyushu Univ., Fukuoka, Japan
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    339
  • Lastpage
    342
  • Abstract
    This paper reports a trial of handwritten text recognition by a part-based method. The part-based method recognizes individual characters by their parts without considering their whole shape. This realizes great robustness to severe deformations. This robustness is also effective for text recognition. Especially, for handwritten texts whose segmentation into individual characters is very difficult by deep touching and heavy slant, the part-based method still can recognize them because it does not request segmentation results to provide their whole shapes. Experimental results using digit sequences proved this robustness.
  • Keywords
    handwritten character recognition; image segmentation; character recognition; handwritten text recognition; handwritten text segmentation; part-based method; Feature extraction; Handwriting recognition; Image recognition; Image segmentation; Smoothing methods; Text recognition; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460141