Robert Gunawan
Program Studi Teknik Informatika Fakultas Teknologi Informasi UKDW Yogyakarta

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PENERAPAN OPTICAL CHARACTER RECOGNITION (OCR) UNTUK PEMBACAAN METERAN LISTRIK PLN Robert Gunawan; Sri Suwarno; Widi Hapsari
Jurnal Informatika Vol 10, No 2 (2014): Jurnal Teknologi Komputer dan Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.168 KB) | DOI: 10.21460/inf.2014.102.331

Abstract

This paper will discuss an automatic recognition system to facilitate the activities of reading and recording of the electricity kWh meter. The system will analyze a captured image of the electricity kWh meter display using character recognition method. Prior to applying this method, each photo image of the kWh meter display will be pre-processed (i.e. converting the image to grayscale and determining the threshold). To detect the kWh meter display area, a smearing approach will be applied which connected the component labeling to character segmentation. To recognize each number, a template matching will be used. This study show that these steps were not yields good result in recognizing the characters in the electricity kWh meter. This is due to several factors, such as the persistence of noise that interfered with the character recognition, camera angles, lighting effect and the effect of the smearing limit.