Two Wheel Vehicle License Plate Detection System with Image Processing

Abdullah Sani, Dhea Ade Rahmadani

Abstract

Image processing is a method used to process images into a digital form, which serves to improve and improve the quality of an image. One of its utilization is to detect the license plate of the vehicle that enters the campus area. Currently for the identification of vehicle license plates in the parking area of Politeknik Negeri Batam Campus still use the manual system that is, when the vehicle enters the parking area then the parking attendant only gives the card. Thus, there is no data storage of vehicles coming into the parking area such as vehicle license plate recording. With the license plate detection system using image processing techniques can facilitate the process of checking the license plate of incoming vehicles by mounting the camera to check the license plate number, as well as using the method K-Nearest Neighbor to recognize each character that is on the license plate automatically, this method has an accuracy level of about 84.5% in 80 characters.

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Paper Citation


in Harvard Style

Sani A. and Rahmadani D. (2020). Two Wheel Vehicle License Plate Detection System with Image Processing. In Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE, ISBN 978-989-758-520-3, pages 75-80. DOI: 10.5220/0010351900750080


in Bibtex Style

@conference{icae20,
author={Abdullah Sani and Dhea Ade Rahmadani},
title={Two Wheel Vehicle License Plate Detection System with Image Processing},
booktitle={Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE,},
year={2020},
pages={75-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010351900750080},
isbn={978-989-758-520-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE,
TI - Two Wheel Vehicle License Plate Detection System with Image Processing
SN - 978-989-758-520-3
AU - Sani A.
AU - Rahmadani D.
PY - 2020
SP - 75
EP - 80
DO - 10.5220/0010351900750080