• DocumentCode
    1742964
  • Title

    Online writing-box-free recognition of handwritten Japanese text considering character size variations

  • Author

    Fukushima, Takahiro ; Nakagawa, Masaki

  • Author_Institution
    Dept. of Comput. Sci., Tokyo Univ. of Agric. & Technol., Japan
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    359
  • Abstract
    An online writing-box free method for recognizing handwritten Japanese text is proposed. This method is achieved by the following procedure. First, the average character size of input handwritten text is estimated. Second, candidates for character segmentation are detected using geometric features between two adjacent strokes. Finally, a search is performed by dynamic programming for the string that maximizes evaluation score (acceptability as Japanese text). The evaluation score reflects the likelihood of character segmentation, recognition, context and the size of each character. The size is a newly introduced factor since alphabets, numerals, symbols, Japanese phonetic characters, simple Chinese characters and compound Chinese characters are all written in different sizes even in a single line of text. Experimental results show that the incorporation of the character size likelihood increases the character recognition rate for Japanese text
  • Keywords
    dynamic programming; handwritten character recognition; maximum likelihood estimation; probability; Japanese phonetic characters; alphabets; character segmentation; character size variations; compound Chinese characters; evaluation score; geometric features; handwritten Japanese text; numerals; online writing-box-free recognition; simple Chinese characters; symbols; Agriculture; Character recognition; Computer science; Computer vision; Dynamic programming; Handwriting recognition; Histograms; Performance evaluation; Text recognition; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.906087
  • Filename
    906087