PERBANDINGAN JARAK POTRET DAN RESOLUSI KAMERA PADA TINGKAT AKURASI PENGENALAN ANGKA KWH METERMENGGUNAKAN SVM
Abstract: Electricity meter is
a tool used to measure the electricity power consumption. Electricity meter has
the numeral part known as electricity meter number which load the electricity
power consumption.Usually, the recording is done once a month, by recording the
number on the electric meter into the book, and then the recording officer take
pictures the power meter. Electricity meter number can be analized through an
image using the knowledge of pattern recognition in image processing. In
analyzing picture of electicity meter number, we used Histogram Of Oriented
Gradients (HOG) as the feature extraction and Supply Vector Machine (SVM) as
the classification method. The result using 100 train-set and 30 test-set for
each combination of category shows that the best resolution is 10 MP and 14 MP
and the picture capturing distance is at 30 cm byand 10 cm by 73,33% accuracy for each image and 86,67% for each
number and confusion matrix shows that presentation of all number is 75,48%.
Penulis: Dini Amputri, Siti
Nadra, Gasim Gasim, M. Ezar Al Rivan
Kode Jurnal: jptinformatikadd170329
