Cover Image

Automated license plate system recognition for campus gate system

This project involves an license plate detection and character recognition system developed for the campus gate system. Commonly referred to as the Automated License Plate Recognition System (ALPR), it proves valuable in various scenarios, including monitoring vehicle entry and exit on university ca...

Full description

Saved in:
Bibliographic Details
Main Author: Liew, Voon Choon
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TD Environmental technology. Sanitary engineering
Online Access:http://eprints.utar.edu.my/6487/1/fyp_CT_2024_LVC.pdf
http://eprints.utar.edu.my/6487/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utar-eprints.6487
record_format eprints
spelling my-utar-eprints.64872024-10-03T08:25:57Z Automated license plate system recognition for campus gate system Liew, Voon Choon T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering This project involves an license plate detection and character recognition system developed for the campus gate system. Commonly referred to as the Automated License Plate Recognition System (ALPR), it proves valuable in various scenarios, including monitoring vehicle entry and exit on university campuses. Following the implementation of this project on campus, it successfully reduced the need for manpower, streamlined traffic flow control during peak hours, and prevented unregistered or uncategorized vehicles from entering the university premises. An ALPR system typically involves three fundamental actions: license plate detection, image processing, and license plate character’s recognition. Primary objective of this project was to enhance recognition accuracy, angle checking, and handling of unconstrained scenes, oblique views, and more. This was achieved through a comprehensive evaluation of the developed ALPR system's performance. Given the remarkable advancements in machine learning today, this project proposes the utilization of YOLO, GAN methods and other tools for object detection, along with EasyOCR for optical character recognition. These technologies collectively extract characters and numbers from license plates to yield the final result. The project primarily focuses on Malaysia's regional license plates, which adhere standards license plate format set by the Malaysia Road Transport Department (JPJ). However, some special cases may arise, such as logos positioned beside the license plate, or other factors that could potentially influence the accuracy rate of license plate detection and the availability of license plate character recognition. To facilitate this research, a dataset containing 1200 images of Malaysia's license plates was employed. This dataset encompasses challenging license plate images from various areas and acquisition states. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6487/1/fyp_CT_2024_LVC.pdf Liew, Voon Choon (2024) Automated license plate system recognition for campus gate system. Final Year Project, UTAR. http://eprints.utar.edu.my/6487/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TD Environmental technology. Sanitary engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TD Environmental technology. Sanitary engineering
Liew, Voon Choon
Automated license plate system recognition for campus gate system
description This project involves an license plate detection and character recognition system developed for the campus gate system. Commonly referred to as the Automated License Plate Recognition System (ALPR), it proves valuable in various scenarios, including monitoring vehicle entry and exit on university campuses. Following the implementation of this project on campus, it successfully reduced the need for manpower, streamlined traffic flow control during peak hours, and prevented unregistered or uncategorized vehicles from entering the university premises. An ALPR system typically involves three fundamental actions: license plate detection, image processing, and license plate character’s recognition. Primary objective of this project was to enhance recognition accuracy, angle checking, and handling of unconstrained scenes, oblique views, and more. This was achieved through a comprehensive evaluation of the developed ALPR system's performance. Given the remarkable advancements in machine learning today, this project proposes the utilization of YOLO, GAN methods and other tools for object detection, along with EasyOCR for optical character recognition. These technologies collectively extract characters and numbers from license plates to yield the final result. The project primarily focuses on Malaysia's regional license plates, which adhere standards license plate format set by the Malaysia Road Transport Department (JPJ). However, some special cases may arise, such as logos positioned beside the license plate, or other factors that could potentially influence the accuracy rate of license plate detection and the availability of license plate character recognition. To facilitate this research, a dataset containing 1200 images of Malaysia's license plates was employed. This dataset encompasses challenging license plate images from various areas and acquisition states.
format Final Year Project / Dissertation / Thesis
author Liew, Voon Choon
author_facet Liew, Voon Choon
author_sort Liew, Voon Choon
title Automated license plate system recognition for campus gate system
title_short Automated license plate system recognition for campus gate system
title_full Automated license plate system recognition for campus gate system
title_fullStr Automated license plate system recognition for campus gate system
title_full_unstemmed Automated license plate system recognition for campus gate system
title_sort automated license plate system recognition for campus gate system
publishDate 2024
url http://eprints.utar.edu.my/6487/1/fyp_CT_2024_LVC.pdf
http://eprints.utar.edu.my/6487/
_version_ 1814061964249268224
score 13.211869

Similar Items