Abstract
Utility companies in developing countries employ analog electrical meters to determine consumption and bill their customers accordingly. Obtaining an accurate reading is an expensive and time-consuming process. High consumption levels of water, energy, or gas are fined by the government; thus, it is necessary to develop tools that allow users to be informed about their consumption in real time. This paper proposes a new number recognition algorithm named the Hausdorff distance for meter reading (HD MR). Experiments prove that HD MR can achieve a 99.9% recognition rate, even when recognized numbers are under rotation. The maximum recognition time is 31 ms; hence, the proposed method proves to be effective and capable in real time for the task proposed.
Original language | English |
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Pages (from-to) | 87-96 |
Number of pages | 10 |
Journal | Turkish Journal of Electrical Engineering and Computer Sciences |
Volume | 22 |
Issue number | 1 |
DOIs | |
State | Published - 2014 |
Externally published | Yes |
Keywords
- Electrical meter
- Hausdorff distance
- Image recognition
- Template matching