"基于MATLAB的智能车牌识别系统研究"

m plays a crucial role in making vehicle management more intelligent, digital, and efficient, thereby enhancing the convenience and effectiveness of traffic management. The system is composed of five core parts: image acquisition, image preprocessing, license plate localization, character segmentation, and character recognition. This thesis focuses on the implementation methods of image preprocessing, license plate localization, and character segmentation modules. The image preprocessing module in this study involves grayscale conversion and edge detection using the Roberts operator. For license plate localization and segmentation, mathematical morphology is employed to determine the position of the license plate, followed by color segmentation using the color information of the license plate to separate the license plate region. Character segmentation is carried out by performing vertical projection on the binarized license plate section and then scanning the vertical projection to achieve character segmentation. This thesis elaborates on the core components of the system and conducts simulated experiments on character segmentation using the MATLAB software environment. Through this research, the author aims to provide insights into the implementation of image preprocessing, license plate localization, and character segmentation modules in a MATLAB-based license plate recognition system. Keywords: MATLAB, image preprocessing, license plate localization, character segmentation.