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Malaysian vehicle license plate recognition using deep learning and computer vision

License plate recognition has become one of the popular topics under deep learning researches. There are many deep learning models and the suitable model for this project chose according to the ability to meet the system operation requirements such as speed, accuracy and precision of the outcome. Th...

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Main Authors: Pugalenthy, Kuken Raj, Mohd Zamri, Ibrahim, Ahmad Afif, Mohd Faudzi, Mohd Rizal, Othman
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39530/1/Malaysian%20Vehicle%20License%20Plate%20Recognition%20Using%20Deep%20Learning.pdf
http://umpir.ump.edu.my/id/eprint/39530/2/Malaysian%20vehicle%20license%20plate%20recognition%20using%20deep%20learning%20and%20computer%20vision_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39530/
https://doi.org/10.1007/978-981-16-8690-0_88
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spelling my.ump.umpir.395302023-12-07T01:14:33Z http://umpir.ump.edu.my/id/eprint/39530/ Malaysian vehicle license plate recognition using deep learning and computer vision Pugalenthy, Kuken Raj Mohd Zamri, Ibrahim Ahmad Afif, Mohd Faudzi Mohd Rizal, Othman T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering License plate recognition has become one of the popular topics under deep learning researches. There are many deep learning models and the suitable model for this project chose according to the ability to meet the system operation requirements such as speed, accuracy and precision of the outcome. Therefore, YOLO (You Only Look Once) model was used which is fast in processing the more images and produce the output at a single look. YOLO is an algorithm designed for multi object detection in a single neural network where it only sees once and process to detect object as many as possible in a picture. In this paper, YOLOv3 is use to detect the position of car registration plate. Next, image warping and slicing applied to straighten the image so it will be easy to feed into character recognition process. Then, the PyTesseract will be used to read the characters from the image together with RegEx function to eliminate the weak predictions from the PyTesseract results. The results obtained from this approach achieved 100% accuracy in recognizing vehicle car plate from 5 video collected from Universiti Malaysia Pahang (UMP) main entrance security gate CCTV system. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39530/1/Malaysian%20Vehicle%20License%20Plate%20Recognition%20Using%20Deep%20Learning.pdf pdf en http://umpir.ump.edu.my/id/eprint/39530/2/Malaysian%20vehicle%20license%20plate%20recognition%20using%20deep%20learning%20and%20computer%20vision_ABS.pdf Pugalenthy, Kuken Raj and Mohd Zamri, Ibrahim and Ahmad Afif, Mohd Faudzi and Mohd Rizal, Othman (2022) Malaysian vehicle license plate recognition using deep learning and computer vision. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 1011-1023., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4 https://doi.org/10.1007/978-981-16-8690-0_88
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Pugalenthy, Kuken Raj
Mohd Zamri, Ibrahim
Ahmad Afif, Mohd Faudzi
Mohd Rizal, Othman
Malaysian vehicle license plate recognition using deep learning and computer vision
description License plate recognition has become one of the popular topics under deep learning researches. There are many deep learning models and the suitable model for this project chose according to the ability to meet the system operation requirements such as speed, accuracy and precision of the outcome. Therefore, YOLO (You Only Look Once) model was used which is fast in processing the more images and produce the output at a single look. YOLO is an algorithm designed for multi object detection in a single neural network where it only sees once and process to detect object as many as possible in a picture. In this paper, YOLOv3 is use to detect the position of car registration plate. Next, image warping and slicing applied to straighten the image so it will be easy to feed into character recognition process. Then, the PyTesseract will be used to read the characters from the image together with RegEx function to eliminate the weak predictions from the PyTesseract results. The results obtained from this approach achieved 100% accuracy in recognizing vehicle car plate from 5 video collected from Universiti Malaysia Pahang (UMP) main entrance security gate CCTV system.
format Conference or Workshop Item
author Pugalenthy, Kuken Raj
Mohd Zamri, Ibrahim
Ahmad Afif, Mohd Faudzi
Mohd Rizal, Othman
author_facet Pugalenthy, Kuken Raj
Mohd Zamri, Ibrahim
Ahmad Afif, Mohd Faudzi
Mohd Rizal, Othman
author_sort Pugalenthy, Kuken Raj
title Malaysian vehicle license plate recognition using deep learning and computer vision
title_short Malaysian vehicle license plate recognition using deep learning and computer vision
title_full Malaysian vehicle license plate recognition using deep learning and computer vision
title_fullStr Malaysian vehicle license plate recognition using deep learning and computer vision
title_full_unstemmed Malaysian vehicle license plate recognition using deep learning and computer vision
title_sort malaysian vehicle license plate recognition using deep learning and computer vision
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39530/1/Malaysian%20Vehicle%20License%20Plate%20Recognition%20Using%20Deep%20Learning.pdf
http://umpir.ump.edu.my/id/eprint/39530/2/Malaysian%20vehicle%20license%20plate%20recognition%20using%20deep%20learning%20and%20computer%20vision_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39530/
https://doi.org/10.1007/978-981-16-8690-0_88
_version_ 1822923965661708288
score 13.232414

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