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Research on Key Technologies of License Plate Character Recognition System

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目录

声明

Acknowledgements

Abstract

Table of contents

List of figures

List of tables

Chapter 1 Introduction

1.1 Background of Research

1.2 Current status of domestic and foreign research

1.3 The problem to be solved

1.4 Outline of thesis

Chapter 2 License plate area positioning algorithms

2.1 Common method of license plate positioning

2.2 Image preprocessing

2.2.1 Gray scale transformation

2.2.2 Binarization

2.2.3 Edge detection

2.3 License plate position method based on morphology and region

2.3.1 Morphological basic operation

2.3.2 License plate positioning experiment based on morphology and reglon

2.4 License plate positioning method based on color features

2.4.1 HSV color space

2.4.2 License plate positioning experiment based on color features

2.5 Chapter summary

Chapter 3 Character segmentation of license plates

3.1 License plate tilt correction

3.1.1 Tilt correction method based on Hough detection

3.1.2 Tilt correction method based on RAdon detection

3.2 License plate frame removal

3.3 License plate character segmentation

3.3.1 Segmentation algorithm based on projection method

3.3.2 Character normalization

3.4 Chapter Summary

Chapter 4 License plate character recognition

4.1 Common method of character recognition

4.2 License plate recognition experiment based on template matching

4.3 License plate recognition experiment Based on BP Neura Network

4.3.1 Introduction to BP neural network

4.3.2 License plate recognition experiment based on BP neural network

4.4 Chapter Summary

Chapter 5 Experimental results and analysis

Chapter 6 Summary and outlook

6.1 Summary of thesis

6.2 Future work outlook

References

摘要

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