• DocumentCode
    2324629
  • Title

    Curved segmentation path generation for unconstrained handwritten Chinese text lines

  • Author

    Li, Nanxi ; Gao, Xue ; Jin, Lianwen

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    501
  • Lastpage
    505
  • Abstract
    A new method of generating curved segmentation paths of handwritten Chinese text line is proposed. For overlapped characters, instead of background thinning, analysis of connected components in the overlap region of two neighboring characters is carried out, and a curved segmentation path is generated by connecting a series of points that separate the connected components belonging to different characters. As for touched characters, the candidate points are identified by using the histogram and skeleton information. After they are split at all the candidate points, curved segmentation paths are generated the same way as in overlapped characters. The experimental results on the unconstrained handwritten offline Chinese text lines show that our algorithm can improve the correct segmentation rate by 3.7% and valid segmentation rate 10.7%, indicating its effectiveness.
  • Keywords
    handwritten character recognition; image segmentation; natural languages; binary image; curved segmentation path generation; histogram information; overlapped characters; skeleton information; unconstrained handwritten Chinese text line; Character generation; Character recognition; Computational complexity; Handwriting recognition; Histograms; Image segmentation; Joining processes; Merging; Skeleton; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-2341-5
  • Electronic_ISBN
    978-1-4244-2342-2
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746070
  • Filename
    4746070