雾天中车牌识别系统的设计与实现

Design and Implementation of License Plate Recognition System in Fog

摘要: 随着科技不断进步，汽车的使用越来越普及，对交通的管理越来越严格。普通的车牌识别系统已无法满足不同情况下对公路上汽车的管制，本文基于matlab软件，设计实现了一种在雾天下能够准确实现车牌识别的系统。主要包括去雾模块，图像预处理模块，车牌定位模块，字符分割模块，字符识别模块，进行多种图像处理技术，实现图像清晰化并进行信息准确提取等功能。通过分析实验表明，该系统优点突出，可以实现雾天以及恶劣天气下的车牌识别，弥补了传统车牌识别的劣势，能进一步减轻交通监管工作，具有广泛的应用前景。

Abstract: With the continuous advancement of technology, the use of automobiles is becoming more and more popular, and the management of traffic is becoming stricter and stricter. Ordinary license plate recognition system cannot meet the control of cars on the road under different circumstances. Based on Matlab software, this paper designs and implements a system that can accurately realize license plate recognition in foggy weather. It mainly includes defogging module, image preprocessing module, license plate positioning module, character segmentation module and character recognition module. The analysis shows that the system has outstanding advantages, can realize license plate recognition in foggy weather and bad weather, make up for the disadvantages of traditional license plate recognition, and can further reduce traffic supervision work, and has broad application prospects.