• DocumentCode
    2030638
  • Title

    Handwritten Chinese address recognition

  • Author

    Wang, Chunheng ; Hotta, Yoshinobu ; Suwa, Misako ; Naoi, Satoshi

  • Author_Institution
    Fujitsu R&D Center Co. Ltd., Beijing, China
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    539
  • Lastpage
    544
  • Abstract
    A handwritten Chinese address recognition (HCAR) system is proposed in this paper. Handwritten Chinese address recognition is a difficult problem. Handwritten Chinese characters are characterized by large vocabulary, complicate structure, irregular distortion and touching characters etc. The proposed approach takes good advantage of Chinese address knowledge, and applies key character extraction and holistic word matching to solving the problem. Different from conventional approach, proposed approach can avoid the character segmentation error successfully. Experimental results show the proposed approach is very effective.
  • Keywords
    handwritten character recognition; natural languages; word processing; Chinese address knowledge; character segmentation error; complicate structure; handwritten Chinese address recognition; handwritten Chinese characters; holistic word matching; irregular distortion; key character extraction; large vocabulary; touching characters; Character recognition; Conferences; Handwriting recognition; Image recognition; Image segmentation; Laboratories; Research and development; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
  • ISSN
    1550-5235
  • Print_ISBN
    0-7695-2187-8
  • Type

    conf

  • DOI
    10.1109/IWFHR.2004.55
  • Filename
    1363967