• DocumentCode
    2484064
  • Title

    Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting

  • Author

    Su, Tong-Hua ; Zhang, Tian-Wen ; Huang, Hu-Jie ; Liu, Cheng-Lin

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Directional features are preferred in off-line Chinese character recognition due to their superior performance. This paper proposes an enhanced four plane feature (en-FPF) within a segmentation-free recognition framework. First, the directional planes are strengthened by replenishing salient pixels. Second, the method to count perpendicular strokes are renewed. In experiments of realistic Chinese handwriting recognition, the proposed enhancement yields desirable improvements of recognition rates, especially to punctuation marks and digits. Compared with four-orientation Gradient feature and Gabor feature, the superiority of en-FPF is also observed.
  • Keywords
    handwriting recognition; handwritten character recognition; Chinese character recognition; Gabor feature; directional feature; directional planes; enhanced four plane feature; gradient feature; perpendicular strokes; realistic Chinese handwriting recognition; salient pixels; segmentation-free recognition framework; segmentation-free recognizer; Automation; Character recognition; Computer science; Feature extraction; Handwriting recognition; Image segmentation; Laboratories; Natural languages; Pattern recognition; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761543
  • Filename
    4761543