• DocumentCode
    2464987
  • Title

    Digital Recognition Based on Image Device Meters

  • Author

    Bin, Ma ; Xiangbin, Meng ; Xiaofu, Ma ; Wufeng, Li ; Linchong, Hao ; Dean, Jiang

  • Author_Institution
    Inf. & Control Eng. Fac., Shenyang Jianzhu Univ., Shenyang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    326
  • Lastpage
    330
  • Abstract
    Analysis the characteristics of meter digital structure, considering the complexity of the meter digital images background, combines dynamic threshold and global threshold binary image on instrument digital image pre-processing. Locating the digital on the instrument, eliminated pattern noise by opening operation and removed small adhesions between the digital and the border, utilized the connected domain screening method to fulfill the meter digital precision positioning. Discussed recognition methods of meter digital based on eigenvector. The results showed that the recognition rate of this solution was 97.5%, and the recognition speed was extremely fast, which perfectly met the recognition requirements: accuracy and speed.
  • Keywords
    computerised instrumentation; eigenvalues and eigenfunctions; image recognition; meters; digital recognition; dynamic threshold binary image; eigenvector; global threshold binary image; image device meters; meter digital images; meter digital precision positioning; Adhesives; Character recognition; Eigenvalues and eigenfunctions; Image recognition; Pixel; Digital Locating; Digital Recognition; Eigenvector; Image Preprocessing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.134
  • Filename
    5709386