• DocumentCode
    1945511
  • Title

    Reading Recognition of Digital Display Instrument Based on BP Neutral Network

  • Author

    Huang, Zhiqiang ; Wan, Chengfu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    106
  • Lastpage
    109
  • Abstract
    To recognize digital display instrumentpsilas reading, a BP neutral network is designed, an improved BP algorithm and 15-feature extraction method is proposed. The image of instrument plate is obtained by an digital camera and transmitted to PC firstly, then an image preprocessing is carried through. The image preprocessing includes gray processing, binarization, grads sharp, vertical tilt correction, noise point removal, character segmentation, character unitary adjustment, character contraction and feature extraction. Character features are extracted by 15-feature extraction method. Finally recognize the reading by the BP neutral network. The experiment result proves that the system can scan and recognize lots of instruments, the recognition is of high veracity and great efficienc.
  • Keywords
    backpropagation; cameras; computerised instrumentation; digital instrumentation; display instrumentation; feature extraction; image denoising; image segmentation; neural nets; backpropagation neural network algorithm; character contraction; character segmentation; character unitary adjustment; digital camera; digital display instrument reading recognition; feature extraction; grads sharp; gray processing; image preprocessing; noise point removal; vertical tilt correction; Computer displays; Computer science; Digital cameras; Digital control; Feature extraction; Image recognition; Image segmentation; Instruments; Lenses; Monitoring; BP neutral network; digital display instrument; reading recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.778
  • Filename
    4721703