• DocumentCode
    691109
  • Title

    Character Recognition Based on Improved BP Neural Network

  • Author

    Wei Zhao ; Mingyu Gao ; Zhi Wei He

  • Author_Institution
    Dept. of Electron. Inf., HangZhou DianZi Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    21-23 Sept. 2013
  • Firstpage
    754
  • Lastpage
    757
  • Abstract
    Aiming to the problem that semi-characters seriously affect character recognition accuracy in the process of automatic meter reading, we proposed a new method to recognize characters automatically which is based on improved BP neural network. First, we preprocess the image with morphology and locate the character area by combining projecting method and the characteristics of the gray transition, then we scan the image to segment the characters, at last, we recognize the characters using improved BP neural network. Experiments turn out that the algorithm can not only recognize the complete characters but also incomplete characters.
  • Keywords
    automatic meter reading; backpropagation; character recognition; image colour analysis; image segmentation; neural nets; BP neural network; automatic meter reading; character recognition; character segmentation; gray transition; image preprocessing; image scanning; morphology; Character recognition; Image recognition; Image segmentation; Morphology; Neural networks; Noise; Training; BP neural network; Character Recognition; Morphology; projecting method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/IMCCC.2013.168
  • Filename
    6840558