• DocumentCode
    2798540
  • Title

    Research of script figure character recognition algorithm based on fuzzy mathematics and D-S evidential theory

  • Author

    Chen Yi ; Wang Gai-Yun ; Chen Le-geng ; Li Bin

  • Author_Institution
    Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1230
  • Lastpage
    1233
  • Abstract
    The script figure character recognition is one of the key technologies for the solution of automatic data input to computer. For the random of writing and strokes deformation, the script figure character recognition is very difficult. The membership function of fuzzy mathematics is adopted in this paper. In order to improve the algorithm stability of the abstraction to the character, the characteristic vector is described fuzzily. The characteristic vector fuses by D-S rule and according as the fusion results, the script character is recognized. Through the experimental simulation, the results show that the recognition method is effective and superiority.
  • Keywords
    character recognition; fuzzy set theory; inference mechanisms; sensor fusion; D-S evidential theory; characteristic vector; fuzzy mathematics; multisensor information fusion; script figure character recognition algorithm; strokes deformation; Automatic control; Character recognition; Fuses; Fuzzy control; Mathematics; Pattern recognition; Reliability theory; Sensor fusion; Stability; Writing; D-S evidential theory; character recognition; characteristic vector; fuzzy mathematics; information fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192758
  • Filename
    5192758