• DocumentCode
    3255031
  • Title

    Optical character recognition system for seven segment display images of measuring instruments

  • Author

    Ghugardare, Rakhi P. ; Narote, Sandip P. ; Mukherji, P. ; Kulkarni, Prathamesh M.

  • Author_Institution
    Dept. of E&TC, SKNCOE, Pune, India
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The explosive growth in the process control industries has increased the requirement of automatic calibration of devises drastically. In process control industries calibration of different measuring instruments for temperature, voltage, pressure, current, etc. is mostly done manually. Some of the industries use software based approach for calibration. In this paper a generalized module for automatic calibration of any measuring instruments (e.g. Temperature Monitoring System) using optical character recognition approach has been proposed. Module is designed for scanning of seven segment display of measuring instruments through camera. The System will preprocess the seven segment character display images and then extract the features for recognition. This paper mainly suggests algorithms for recognition of seven segment display characters present on digital multi-meters. This solution benefits toward significant reduction in work quantity for calibration as well as from better replication and objectivity of measuring. The accuracy of the system is 95%.
  • Keywords
    calibration; computerised instrumentation; digital multimeters; feature extraction; optical character recognition; digital multimeters; features extraction; measuring instruments automatic calibration; optical character recognition system; process control industries; seven segment character display images; software based approach; Calibration; Character recognition; Displays; Electrical equipment industry; Image segmentation; Industrial control; Instruments; Optical character recognition software; Process control; Temperature measurement; Automatic Calibration; OCR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5395994
  • Filename
    5395994