Intelligent Moroccan License Plate Recognition System Based on YOLOv5 Build with Customized Dataset

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Advanced Computer Science and Applications Pub Date : 2023-01-01 DOI:10.14569/ijacsa.2023.0140638

El Mehdi Ben Laoula, M. Midaoui, M. Youssfi, O. Bouattane

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引用次数: 0

Abstract

The rising number of automobiles has led to an increased demand for a reliable license plate identification system that can perform effectively in diverse conditions. This applies to local authorities, public organizations, and private companies in Morocco, as well as worldwide. To meet this need, a strong License Plate Recognition (LPR) system is required, taking into account local plate specifications and fonts used by plate manufacturers. This paper presents an intelligent LPR system based on the YOLOv5 framework, trained on a customized dataset encompassing multiple fonts and circumstances such as illumination, climate, and lighting. The system incorporates an intelligent region segmentation level that adapts to the plate's type, improving recognition accuracy and addressing separator issues. Remarkably, the model achieves an impressive precision rate of 99.16% on problematic plates with specific illumination, separators, and degradations. This research represents a significant advancement in the field of license plate recognition, providing a reliable solution for accurate identification and paving the way for broader applications in Morocco and beyond. Keywords—License plate recognition; YOLOv5; intelligent region segmentation; customized dataset; Moroccan license plate issues; fonts-based data

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基于YOLOv5的定制数据集智能摩洛哥车牌识别系统

汽车数量的不断增加导致对可靠的车牌识别系统的需求增加，该系统可以在各种条件下有效地工作。这适用于摩洛哥以及世界各地的地方当局、公共组织和私营公司。为了满足这一需求，需要一个强大的车牌识别(LPR)系统，考虑到当地的车牌规格和车牌制造商使用的字体。本文提出了一个基于YOLOv5框架的智能LPR系统，该系统在包含多种字体和环境(如照明、气候和照明)的定制数据集上进行训练。该系统结合了一个智能区域分割水平，适应板的类型，提高识别精度和解决分离问题。值得注意的是，该模型在具有特定照明、分离器和降解的问题板上达到了令人印象深刻的99.16%的精度。这项研究代表了车牌识别领域的重大进步，为准确识别提供了可靠的解决方案，并为在摩洛哥和其他地区的更广泛应用铺平了道路。关键词:车牌识别;YOLOv5;智能区域分割;自定义数据集;摩洛哥车牌问题;fonts-based数据

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来源期刊

International Journal of Advanced Computer Science and Applications COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.30

自引率

22.20%

发文量

519

期刊介绍： IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications