• DocumentCode
    2813760
  • Title

    Text line segmentation in Chinese handwritten text images

  • Author

    Zhang, Chengdong ; Lee, Gueesang

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Chonnam Nat. Univ., Gwangju, South Korea
  • fYear
    2011
  • fDate
    9-11 Feb. 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper, text line segmentation based on 2-D Tensor Voting is proposed, 2-D tensor voting is used to remove outliers and located center points of connected components. The saliency values and direction of normal vectors are represented information of tensors for segmentation. The text images obtained from HIT-MW dataset.
  • Keywords
    handwriting recognition; image segmentation; natural language processing; tensors; text analysis; 2D tensor voting; Chinese handwritten text images; HIT-MW dataset; normal vectors; saliency values; text line segmentation; Equations; Flowcharts; Image segmentation; Mathematical model; Standards organizations; Symmetric matrices; Tensile stress; handwritten characters; morphological operation; tensor voting; text line segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on
  • Conference_Location
    Ulsan
  • Print_ISBN
    978-1-61284-677-4
  • Electronic_ISBN
    978-1-61284-676-7
  • Type

    conf

  • DOI
    10.1109/FCV.2011.5739736
  • Filename
    5739736
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2813760