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Key technologies of intelligent transportation based on image recognition

机译:基于图像识别的智能运输关键技术

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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.
机译: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。板号识别系统的研发是实现运输系统智能和现代化的重要因素。它使用每辆汽车具有唯一的板号,并通过相机捕获的车辆图像识别车辆数。在图像识别的基础上,本文将板号图像视为研究对象,并讨论了板号识别系统的关键技术。首先,本文使用图像预处理技术来处理图像以提高图像质量。其次,分析了基于连接区域搜索的板号位置算法。根据板号本身的特性,提取板号的区域特征以准确地定位板号。然后,提出了一种改进的基于垂直投影的板号字符分段方法来分​​段板号字符。最后,结合字符特征,模板匹配方法用于识别板号字符。仿真结果表明,在图像识别的基础上,本文研究了板号识别系统的关键技术,这有效提高了系统的性能,使得识别板号更有效和准确。

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