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Automation of water meter billing process based on digital image processing approach

Author

Listed:
  • Sudipto Chaki

    (Department of Computer Science & Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh)

  • Dipu Akter Shila

    (Department of Computer Science & Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh)

  • Nafsin Jahan

    (Department of Computer Science & Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh)

Abstract

Automatic water meter reading recognition is the key feature of this paper from different environmental conditions. To do so, we have proposed a real-time automatic water meter reading recognition model in this research paper. Initially, from the meter image, the largest circular blob is extracted by creating a mask. As the water meter reading region can be tilted at a certain angle; to overcome this problem Hough transform is used to detect and correct the tilted angle. After tilt correction, to find out the circular meter region, the image masking technique is used in accordance with the largest blob finding technique. To reduce the computational cost for further processing, the corrected RGB meter image is converted to a grayscale image. To improve the quality of the grayscale image, global histogram equalization is used. Using the Otsu threshold method, a gray image is converted to the binary image automatically. We have overcome the challenges of clipping the Region of Interest (ROI) extraction region. Applying horizontal and vertical projection, the region of interest (reading region) is extracted. At this point, a morphological operation has been implemented to reduce noise. To segment the digit image, a vertical projection algorithm is used. These segmented digits are then matched with template digit images following the correlation coefficient values. This work will overcome the problem of traditional water billing procedures and will be helpful to run a central water billing management.

Suggested Citation

  • Sudipto Chaki & Dipu Akter Shila & Nafsin Jahan, 2019. "Automation of water meter billing process based on digital image processing approach," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(5), pages 207-218.
    • Handle: RePEc:apb:jaterr:2019:p:207-218
    DOI: 10.20474/jater-5.5.3
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    References listed on IDEAS

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    1. Snatika Sarkar & Vijaya Ilango, 2016. "Improvement of Fuel Cell Performance by Application of Carbon Nanotubes," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 2(6), pages 180-184.
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