汽车车牌的识别系统是现代智能交通管理的重要组成部分之一。车牌识别系统使

The vehicle license plate recognition system is one of the important components of modern intelligent traffic management. The license plate recognition system makes vehicle management more intelligent and digitized, effectively improving the convenience and effectiveness of traffic management. The license plate recognition system mainly includes five core parts: image acquisition, image preprocessing, license plate location, character segmentation, and character recognition. <br>This article mainly introduces the realization methods of three modules: image preprocessing, license plate positioning, and character segmentation. The image preprocessing module in this article is the steps of graying the image and using the Roberts operator for edge detection. License plate location and segmentation use mathematical morphology to determine the position of the license plate, and then use the color segmentation method of the license plate color information to complete the segmentation of the license plate location. The method of character segmentation is to perform vertical projection on the binarized license plate part, and then scan the vertical projection to complete the character segmentation. This article elaborates on its core part and uses MATLAB software to simulate character segmentation.

The identification system of automobile license plate is one of the important parts of modern intelligent traffic management. License plate recognition system makes vehicle management more intelligent, digital, effectively improve the convenience and effectiveness of traffic management. License plate recognition system mainly includes image acquisition, image pre-processing, license plate positioning, character segmentation, character recognition and other five core parts.<br>This paper mainly introduces the implementation method of image pre-processing, license plate positioning and character segmentation. The image preprocessing module in this article is a step in grayscaling the image and detecting the edges using Roberts operators. License plate positioning and segmentation is the use of mathematical morphological method to determine the license plate position, and then use the license plate color information color segmentation method to complete the division of license plate parts. Character segmentation is done by projecting vertically on the plate portion after dualization, and then scanning the vertical projection to complete the division of characters. This article is about its core parts and the use of MATLAB software environment for character segmentation simulation.

License plate recognition system is an important part of modern intelligent transportation management. License plate recognition system makes vehicle management more intelligent and digital, and effectively improves the convenience and effectiveness of traffic management. License plate recognition system mainly includes five core parts: image acquisition, image preprocessing, license plate location, character segmentation and character recognition.<br>This paper mainly introduces the implementation of three modules: image preprocessing, license plate location and character segmentation. The image preprocessing module in this paper is the steps of graying the image and edge detection with Roberts operator. License plate location and segmentation uses mathematical morphology method to determine the location of the license plate, and then uses the color segmentation method of license plate color information to complete the license plate segmentation. The method of character segmentation is vertical projection of the binary license plate, and then scanning the vertical projection to complete the character segmentation. In this paper, the core part is described, and the MATLAB software environment is used for character segmentation simulation.<br>