Journal of Data Science and Software Engineering
Vol 3 No 02 (2022)

IMPLEMENTASI METODE TEMPLATE MATCHING TERHADAP PENGENALAN CITRA PLAT NOMOR KENDARAAN BERMOTOR

Ahmad Shofi Khairian (FMIPA ULM)
Irwan Budiman (FMIPA ULM)
Muhammad Itqan Mazdadi (FMIPA ULM)
Andi Farmadi (FMIPA ULM)
Dwi Kartini (FMIPA ULM)



Article Info

Publish Date
28 Dec 2022

Abstract

Abstract The motorized vehicle number (TNKB) sign or commonly referred to as the police license plate is a plate made of aluminum that shows the sign of a motorized vehicle in Indonesia that has been registered with the Samsat Office. The motor vehicle number sign in the form of an aluminum plate consists of 2 (two) lines, the first line showing the area code (letters), police number (numbers), and the final code/series. This study uses 10 license plates of motorized vehicles as test data taken for each character and 3 data sets of letters AZ and numbers 0-9 number plates of motorized vehicles for each character as training data. The purpose of this study was to determine the level of accuracy of the method Template Matching on image recognition of motor vehicle numbers. The results of the implementation of the method Template Matching on the image recognition of motorized vehicle license plates is to produce an accuracy rate of 95.56%.

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Journal Info

Abbrev

integer

Publisher

Subject

Computer Science & IT

Description

Journal of Data Science and Software Engineering adalah jurnal yang dikelola oleh program studi Ilmu Komputer Universitas Lambung Mangkurat untuk mempublikasikan artikel ilmiah mahasiswa tugas akhir. Terbit tiga kali dalam ...