• DocumentCode
    1703452
  • Title

    The research on digit recognition algorithm for automatic meter reading system

  • Author

    Zhang, Zongjian ; Chen, Guanghua ; Li, Jianwei ; Ma, Yinglin ; Ju, Na

  • Author_Institution
    Sch. of Mech. & Electron. Control Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    5399
  • Lastpage
    5403
  • Abstract
    To overcome the limitations for traditional manual meter-reading and poor suitability of modern meter-reading system regarding electric energy metering, a portable automatic ammeter reading system is put forward based on digit recognition algorithm. With the numerical recognition of images from dial plate as its core, this system accomplish the recognition of user code and electricity numbers before relative operations, such as storage, charging, etc. Served as the basic role, a combination of algorithms, including morphology, grayscale conversion, edge detection, Hough transformation, projection, etc., are used in preprocessing after which the numeral recognition system utilize closed hole, semi-closed hole as the structural features for extraction and recognition. After the actual test, the system is proved to have strong accuracy and robustness.
  • Keywords
    Hough transforms; automatic meter reading; edge detection; power engineering computing; Hough transformation; automatic ammeter reading system; digit recognition algorithm; edge detection; electric energy metering; grayscale conversion; morphology; Ammeters; Automation; Control engineering; Educational institutions; Feature extraction; Image recognition; Visualization; AMR; digit recognition; digital image processing; structural feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5555044
  • Filename
    5555044