Application and improvement of license plate recognition technology in intelligent transportation systems
智能交通系统中车牌识别技术的应用与改进

摘要

随着智能交通系统（ITS）逐步发展，车牌识别技术作为其核心应用之一，已广泛应用于停车管理、道路收费、交通监控等领域。车牌识别系统不仅能够有效提升交通管理效率，还为道路安全提供有力保障。然而，现有技术仍面临环境干扰、识别精度和实时性等问题。本文探讨了车牌识别技术的应用现状，分析了其在智能交通中的重要性，并提出了基于深度学习算法的技术改进方案，以提高识别率与系统稳定性。最终，论文旨在为智能交通系统中的车牌识别技术提供理论支持与实践指导。

Abstract

With the gradual development of Intelligent Transportation Systems (ITS), License Plate Recognition (LPR) technology, as one of its core applications, has been widely used in areas such as parking management, toll collection, and traffic monitoring. LPR systems not only effectively enhance traffic management efficiency but also provide strong support for road safety. However, existing technologies still face issues such as environmental interference, recognition accuracy, and real-time performance. This paper explores the current application status of LPR technology, analyzes its significance in intelligent transportation, and proposes improvements based on deep learning algorithms to enhance recognition rates and system stability. Ultimately, the paper aims to provide theoretical support and practical guidance for LPR technology in intelligent transportation systems.