IDEAS home Printed from https://ideas.repec.org/a/pkp/rocere/v5y2018i1p12-19id1456.html
   My bibliography  Save this article

Survey of Image Processing Based Applications in AMR

Author

Listed:
  • K Karthick
  • M Premkumar
  • R Manikandan
  • R Cristin

Abstract

The ability to use computer and human based interaction would make things easier for the user, but would be challenging for the researchers. More sophisticated imaging systems can handle inter plot the results of image analysis and describe the various objects and their connections in the scene. The electricity, gas, and water metering instruments may employ the Automatic meter reading (AMR) system for automation of bill generation process. The image processing implementation may ease the process of AMR. In this paper, we discussed the image processing applications in AMR.

Suggested Citation

  • K Karthick & M Premkumar & R Manikandan & R Cristin, 2018. "Survey of Image Processing Based Applications in AMR," Review of Computer Engineering Research, Conscientia Beam, vol. 5(1), pages 12-19.
  • Handle: RePEc:pkp:rocere:v:5:y:2018:i:1:p:12-19:id:1456
    as

    Download full text from publisher

    File URL: https://archive.conscientiabeam.com/index.php/76/article/view/1456/2037
    Download Restriction: no

    File URL: https://archive.conscientiabeam.com/index.php/76/article/view/1456/4767
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pkp:rocere:v:5:y:2018:i:1:p:12-19:id:1456. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dim Michael (email available below). General contact details of provider: https://archive.conscientiabeam.com/index.php/76/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.