IMPLEMENTATION OF THE TEMPLATE MATCHING METHOD FOR IMAGE RECOGNITION OF MOTORIZED VEHICLE NUMBER PLATE

  • Ahmad Shofi Khairian FMIPA ULM
  • Irwan Budiman FMIPA ULM
  • Muhammad Itqan Mazdadi FMIPA ULM
  • Andi Farmadi FMIPA ULM
  • Dwi Kartini FMIPA ULM
Keywords: Template matching, Motorized Vehicle Number Plates, Image Recognition

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%.

Published
2022-12-28
How to Cite
Khairian, A. S., Irwan Budiman, Muhammad Itqan Mazdadi, Andi Farmadi, & Dwi Kartini. (2022). IMPLEMENTATION OF THE TEMPLATE MATCHING METHOD FOR IMAGE RECOGNITION OF MOTORIZED VEHICLE NUMBER PLATE. Journal of Data Science and Software Engineering, 3(02), 88-102. Retrieved from https://jurnalmahasiswamipa.ulm.ac.id/index.php/integer/article/view/72
Section
Articles