Design And Implementation Of License Plate Recognition System

Based on the information age,computer technology is more widely used,and computer image processing and recognition technologies have been widely developed and applied.With the continuous development of the economy,vehicles have become more and more important in people’s work and life.The increase in the number of vehicles has placed higher requirements on vehicle management.Therefore,the license plate recognition system,as an important content of intelligent transportation system research,has Wide application prospects.This article first briefly introduces the research background and current status of image processing technology,converts the acquired images into bitmap format,and analyzes the storage structure of bitmap images in memory.Secondly,the principle and implementation process of image preprocessing algorithm are analyzed in detail.Including: color image graying,binarization,noise reduction,character segmentation,normalization and other processing.Then,an algorithm based on boundary tracking is designed to measure the target object area and perimeter in the image.Based on the binary image,based on the connectivity of the pixels,each region in the image is labeled to obtain the number of regions.Boundary tracking method is used to extract the contours of each area of ??the image.In order to improve the accuracy,the starting point of the tracking is selected in the upper left corner of the image,and it is scanned pixel by pixel.When it encounters the edge point,it starts to track sequentially until it returns to the starting point.The number of pixels,the area and perimeter characteristics of the target object are calculated.Finally,a license plate segmentation system is designed and implemented,including positioning and segmentation of license plates,image denoising,and character segmentation.In the process of character segmentation,according to the shape characteristics of the license plate,noise interference is eliminated,and a single character is accurately segmented,which lays the foundation for license plate recognition.The algorithm is debugged and run in the VC ++ 2010 compilation environment,and the results of the paper are given.The algorithm runs correctly and reliably.