Image segmentation is a process of separating the foreground or object and the background or background. This separation process has problems, including those that often occur in pattern recognition, namely from the characteristics, thickness of numbers and also the results of image capture. Pattern recognition also has many identifications, one of which is using Otsu Thresholding. This thresholding method is used to automatically divide the histogram of the gray image into two different regions. The numbers detected are numbers on the PDAM water meter. For this PDAM meter, misunderstandings often occur in recording and many payments are not in accordance with the amount used. Therefore, a system was made to detect the PDAM meter number so that homeowners can see the amount of usage and the amount of fees to be paid. The system has 2 process flows, namely the process for training data is carried out manually and also the process for value identification is carried out through comparisons and differences in values from the threshold. The last step is to calculate the accuracy of image recognition. After testing the accuracy for image recognition obtained by 91% with testing as many as 100 images.

1.
Anwar
,
C.
, &
Hardiyan
. (
2018
).
Analisa Penggunaan Aplikasi Android Meter Reading P.D.AM Terhadap Kepuasan Pelanggan
.
Paradigma
Vol.
XX
No.
1
2.
Dorafshan
,
Sattar.
,
Maguire
,
Marc.
,
Qi
,
Xiaojun
.,
2016
,
Automatic Surface Crack Detection In Concrate Structure Using O.T.SU Thresholding and Morphological Operations
,
Utah State University
, April 2016.
3.
Farih
,
M.
,
Hakim
,
L.
, &
Munir
,
M.
(
2016
).
Segmentasi Citra Wayang dengan Metode Otsu
.
Cyber-TECHN.
4.
Goh
,
T. Y.
,
Basah
,
S. N.
,
Yazid
,
H.
,
Safar
,
M. J.
, &
Saad
,
F. S.
(
2018
, Desember 8).
Performance Analysis of imgae thresholding: Otsu technique
.
Measurement
,
298
307
.
Diambil kembali dari Kompasiana
: https://www.kompasiana.com/apepsaepudin/5849075464afbdff1cbe62d0/pentingnya-belajar-bahasa-indonesia
5.
Hartanto
,
S.
,
Sugiharto
,
A.
, &
Endah
,
S. N.
(
2015
).
Optical Character Recognition menggunakan Algoritma Template Matching Correlation
.
Jurnal Masyarakat Informatika.
6.
Hermawan
,
I.
(
2015
).
Rancang Bangun Sistem Pendeteksi dan Pengenalan Angka Pada Meteran Air P.D.AM Menggunakan Metode Template Matching Correlation
.
Sekolah Tinggi Teknologi Terpadu Nurul Fikri.
7.
Ibnutama
,
K.
,
Panjaitan
,
Z.
, &
Ginting
,
E. F.
(
2019
).
Modifikasi Metode Template Matching pad OCR untuk meningkatkan Akurasi Deteksi Plat Nomor Kendaraan
.
Jurnal Teknologi Sistem Informasi dan Sistem Komputer T.G.D
, Vol.
2
, No.
2
.
8.
Putra
,
E. D.
(
2017
).
Peningkatan Kualitas Citra Segementasi Objek Dari Permukaan Air Pada Metode O.T.SU Thresholding dan Persamaan Gaussian
.
Jurnal Informatika U.P.GRIS
, Vol.
3
, No.
2
.
9.
Siregar
,
R.
(
2019
).
Implementasi O.T.SU Thresholding pada Optical Character Recognition Menggunakan Engine Tesseract
.
Teknik Informatika, Universitas Harapan Medan
,
27
34
.
10.
Syafi’i
,
Slamet Imam
.,
Wahyuningrum
,
Rima Tri.
, &
Muntasa
,
Arif
. (
2015
).
Segmentasi Obyek Pada Citra Digital Menggunakan Metode Otsu Thresholding
.
Universitas Trunojoyo Madura Program Studi Teknik Informatika.
11.
Utami
,
A. T.
(
2017
).
Implementasi Metode O.T.SU Thresholding Untuk Sementasi Citra Daun
.
Universitas Muhammadiyah Surakarta Program Studi Informatika.
12.
Xiao
,
L.
,
Ouyang
,
H.
, &
Fan
,
C.
(
2019
).
An improve Otsu method for threshold segementation based on set mapping and trapezoid region intercept histogram
.
Optik
.
14.
(
Afifa
,
2016
).
Implementasi Metode Gaussian Filter untuk Penghapusan Noise Pada Citra Menggunakan G.P.U
.
Central Library of Maulana Malik Ibrahim State Islamic University o Malang
This content is only available via PDF.
You do not currently have access to this content.