Research on License Plate Recognition Method Based on Artificial Intelligence Deep Learning

Huaiqi Jia

2024

Abstract

License Plate Recognition (LPR) is a significant technique in most of the applications related to modern traffic, which is widely used in various cases in society like traffic control, smart parking, traffic security, and so on. Due to the growing amount of motor vehicles and the complexity of nowadays traffic conditions, this page uses an automatic LPR system to solve the remaining problems of conventional LPR systems, including the lack of ability to treat datasets of extreme weather and heavy traffic. Deep learning of artificial intelligence is widely used in the network of this page, especially the Convolutional Neural Networks (CNN) network. By building two distinctive CNN networks, this model achieves end-to-end recognition through the application of AI deep learning, which eventually gets rid of the need for manual intervention. At the same time, by leveraging CNN's powerful feature extraction capabilities, the recognition accuracy of license plate characters is significantly improved. Besides, by using MobileNet and Single Shot MultiBox Detector (SSD) networks, the CNN network of license positioning is transplantable and light enough to be used in personal computers without the use of a complex computing system. In contrast to traditional character template matching recognition, the system on this page can handle license plate images in various complex conditions, including all sorts of lightning positions, tilt, blur, etc. The network also meets the requirement of real-time application. The results show that the enhancement can increase the LPR accuracy from 92.57% to 98.43% when blurry or low-quality images are used.

Paper Citation

in Harvard Style

Jia H. (2024). Research on License Plate Recognition Method Based on Artificial Intelligence Deep Learning. In Proceedings of the 2nd International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-754-2, SciTePress, pages 395-400. DOI: 10.5220/0013524700004619

in Bibtex Style

@conference{daml24,
author={Huaiqi Jia},
title={Research on License Plate Recognition Method Based on Artificial Intelligence Deep Learning},
booktitle={Proceedings of the 2nd International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2024},
pages={395-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013524700004619},
isbn={978-989-758-754-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - Research on License Plate Recognition Method Based on Artificial Intelligence Deep Learning
SN - 978-989-758-754-2
AU - Jia H.
PY - 2024
SP - 395
EP - 400
DO - 10.5220/0013524700004619
PB - SciTePress