• DocumentCode
    2339289
  • Title

    A Method of Character Recognition Based on General Characteristic and Connected Regions

  • Author

    Meng Qing-yuan ; Hongping, Hu ; Yanping, Bai

  • Author_Institution
    Coll. of Sci., North Univ. of China North Univ. of China, Taiyuan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    94
  • Lastpage
    98
  • Abstract
    In this paper, by analyzing the number of concave domain and cycles and the characteristic of connected domain of the characters, we present a method of character recognition based on above mentioned features. At first, the characters are divided into two classes according to cycles: the character with cycles and the character without cycles. Then, we detect if the character has sunk parts in its four directions (up, down, left, right).According to the results, the character can be recognized or divided into six classes. At last, we recognize the character using the characteristic of connected domain, and obtain the final recognition results. The experiment shows that the algorithm has a good performance in English characters recognition.
  • Keywords
    natural languages; optical character recognition; traffic engineering computing; English characters recognition method; concave domain; connected regions; intelligent transport system; license plate recognition; optical character recognition; Arrays; Character recognition; Feature extraction; Image edge detection; Licenses; Noise measurement; Pixel; character recognition; concave domain; connected domain; cycle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Signal Processing (CMSP), 2011 International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-1-61284-314-8
  • Electronic_ISBN
    978-1-61284-314-8
  • Type

    conf

  • DOI
    10.1109/CMSP.2011.25
  • Filename
    5957385