With the development of economy, the research of urban intelligent transportation system is becoming more and more important. The research and development of plate number recognition system is an important factor to realize the intelligence and modernization of transportation system. It uses each car to have a unique plate number and recognizes the vehicle number through the vehicle image captured by the camera. On the basis of image recognition, this article takes plate number image as the research object and discusses the key technologies of plate number recognition system. First, this article uses image preprocessing technology to process images to improve image quality. Second, the plate number location algorithm based on the connected region search is analyzed. According to the characteristics of the plate number itself, the regional features of the plate number are extracted to locate the plate number accurately. Then, an improved vertical projection-based plate number character segmentation method is proposed to segment plate number characters. Finally, combined with character characteristics, the template matching method is used to recognize plate number characters. The simulation results show that, on the basis of image recognition, this article studies the key technologies of plate number recognition system, which effectively improves the performance of the system and makes the recognition of plate number more effective and accurate.

中文翻译：

---

基于图像识别的智能交通关键技术

随着经济的发展，城市智能交通系统的研究变得越来越重要。车牌识别系统的研发是实现交通系统智能化、现代化的重要因素。它使用每辆车都有一个唯一的车牌号，并通过摄像头拍摄的车辆图像识别车辆号。本文在图像识别的基础上，以车牌图像为研究对象，探讨车牌识别系统的关键技术。首先，本文使用图像预处理技术对图像进行处理以提高图像质量。其次，分析了基于连通区域搜索的车牌号定位算法。根据车牌号本身的特点，提取车牌号的区域特征，准确定位车牌号。然后，提出了一种改进的基于垂直投影的车牌号字符分割方法来分割车牌号字符。最后结合字符特征，采用模板匹配的方法对车牌号字符进行识别。仿真结果表明，本文在图像识别的基础上，研究了车牌识别系统的关键技术，有效提高了系统的性能，使车牌识别更加有效和准确。结合字符特征，采用模板匹配方法识别车牌号字符。仿真结果表明，本文在图像识别的基础上，研究了车牌识别系统的关键技术，有效提高了系统的性能，使车牌识别更加有效和准确。结合字符特征，采用模板匹配方法识别车牌号字符。仿真结果表明，本文在图像识别的基础上，研究了车牌识别系统的关键技术，有效提高了系统的性能，使车牌识别更加有效和准确。