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The Study and Realization of Key Algorithm in License Plate Recognition System

Author: NieHongYin
Tutor: ZhouWeiDong
School: Shandong University
Course: Circuits and Systems
Keywords: License Plate Recognition License Plate Location Color model Template matching
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 407
Quote: 7
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Abstract


With the rapid development of the national economy , the number of cars in China is increasing rapidly , and the Chinese government to accelerate the pace of infrastructure . Highways , overpasses , car parks , more and more , but the corresponding vehicle management system has not kept pace , still remain in the labor management based stage , it is relatively backward . Therefore, how to enhance traffic management is becoming increasingly important to improve the efficient use of the highway . A variety of intelligent transportation systems (Intelligent Transportation System, ITS) have been produced . License Plate Recognition System as a means of information gathering Urban Intelligent Transportation System , has been developed rapidly . On the basis of a detailed study of a variety of domestic and foreign representative license plate recognition technology , combined with the characteristics of the Chinese license plate , and conducted in-depth research of license plate positioning algorithm , the license plate preprocessing algorithm as well as the license plate character segmentation and recognition algorithm , has algorithm based on innovation, the new algorithm . The experimental results show that , compared with the existing algorithms , the new algorithm regardless of speed, complexity of the algorithm , or the accuracy has obvious advantages . License plate recognition technology , the main innovation has the following three aspects : 1. Recalling a classic license plate positioning method , based on license plate location algorithm based on a multi - color model and license plate features can meet the requirements of real-time systems , and high robustness . The full analysis of the existing image binarization method , combined with the license plate of the inherent characteristics , proposed an improved p-tile algorithm . The test results show that the use of this method of license plate images the binarization unique advantage algorithm execution speed and binarization . License plate character segmentation and recognition method proposed a series of improvements . Car brand image normalized plate tilt correction method . On the classic character segmentation and identification algorithm analysis and simulation , and analysis of the advantages and disadvantages of each .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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