• Lukman Syafie Faculty of Computer Science, Universitas Muslim Indonesia
  • Herman Herman Faculty of Computer Science, Universitas Muslim Indonesia
  • Nur Alam Balai Besar Penelitian dan Pengembangan SDM KOMINFO Makassar
  • Tasmil Tasmil Balai Besar Penelitian dan Pengembangan SDM KOMINFO Makassar



electric meter image, computer vision, moment invariant


Implementation of computer vision can be done in the introduction of images or pictures of characters of numbers or letters. Based on this, then the computer vision can be used in the introduction of numbers on the electric meter or commonly called kWh meter. The underlying thing for the electric meter to be the object of research is to look at the situation, where the electric meter recorder keeps the record using the camera. Furthermore, the value shown on the electric meter will be inputted manually. Manual input requires a relatively long time because the amount of electricity meter input value is not small data. One method that can be used in recognizing the shape of the image in computer vision is the invariant moment. The results of this study indicate that the quality of the image gives effect, both in terms of the extraction of features and the accuracy of the recognition of the figure on the image of the electric meter. In addition to this, the threshold value of the euclidian distance method should also be used to limit the recognition process.


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How to Cite

Syafie, L., Herman, H., Alam, N., & Tasmil, T. (2020). IMPLEMENTATION OF MOMENT INVARIANT IN RECOGNIZING OF ELECTRICAL METER NUMBERS. Journal of Information Technology and Its Utilization, 3(1), 14–17.