Real-Time License Plate Recognition Researching And Intelligent Transportation Systems In The Application

Intelligent Transport System in the 21st century modernization of the transportation system an important development direction, it is a kind of information, intelligence, and a new type of modern society of the transport system. With the continued socio-economic development and increasing the living standards of the people, the entire community of transport demand growing, Intelligent Transportation System Application inevitable. Real-Time License Plate Recognition as a branch of Intelligent Transportation System ,in the large car park management system, public safety, traffic management is particularly important and relevant departments have the practical application of value, are increasingly subject to the people's attention.This paper uses image processing technology, pattern recognition technology, the vehicle registration positioning technology, character segmentation techniques and neural network technology to solve the problem of vehicle licence identification. Divided into image preprocessing, regional location and license plate geometric correction, character segmentation and normalized and Character Recognition of the four modules for real-time analysis of License Plate Recognition.First papers on image preprocessing, will be collected on the plate containing the image of the gray, gray stretch, histogram equalization, filtering and image binarization handling, and a binarization based on the good results of the histogram best overall average threshold value; Then on China's plate features and common license plates in-depth study of positioning technology, a license plate based on regional distribution and gray geometric characteristics of the real-time positioning methods plate through the plate geometry deformation occurred and the reasons for the type analysis of the slope is based on the license plate tilt correction method; Based on the common character segmentation methods and the structural characteristics of its own license plate and a priori knowledge of the analysis, a projection based on a priori knowledge of the plate and the combination of segmentation method used to neighbouring interpolation method, although the relative accuracy But to meet the low system requirements and easy, characters will be normalized into the lattice, character recognition prepared. Finally, the PSO algorithm and the related principles of neural networks in brief and analytical studies, based on this highlights the PSO-BP neural network for real-time and its license plate character recognition.