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A Vehicle License Plate Recognition System Based on Computer Vision

Author: WuZuo
Tutor: HeXiaoHai
School: Sichuan University
Course: Communication and Information System
Keywords: Image processing Computer Vision Pattern Recognition Automatic Vehicle Identification System Character segmentation Character Recognition Edge Extraction
CLC: TP391.41
Type: Master's thesis
Year: 2003
Downloads: 492
Quote: 4
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Abstract


This paper studies the license plate recognition system based on computer vision . The system is based on technologies such as image processing, pattern recognition , and vehicle image captured through the camera (including the license plate image ), automatic identification of the license plate number . The system has a variety of applications , such as parking the vehicle automatically release fees mouth automatically billing , electronic police monitoring systems as well as mobile electronic inspection system , automobile traffic analysis and statistics system, etc. . The main work of this paper is to study some of the key technologies for license plate recognition system . This article novelty of that : in the license plate location , this paper proposed binarization based on edge detection and scanning lines combined license plate positioning method , experiments show that the method can quickly and accurately locate the license plate , and the anti-interference ability . ( 2 ) the license plate segmentation , this paper proposes a new differential binarization algorithm for the license plate image binarization . The experiments show that the algorithm is fast and good segmentation results . ③ license plate character recognition , in order to improve the stability of the character recognition , the paper proposes a character recognition algorithm based on improved Hausdorff distance . The experiments show that the algorithm for character recognition rate , stable performance . The main content of this paper , as follows: The first chapter introduces the development status of the license plate recognition system at home and abroad , as well as the advantages of the license plate recognition technology . The second chapter describes the overall framework of the license plate recognition system as well as the various subsystems function and identify the overall process . The third chapter details the license plate recognition license plate positioning module , first introduced the use of license plate positioning of the different characteristics , and then introduced the results of this paper, the extraction algorithm based on the vertical edge of the vertical edges of license plate positioning algorithm proposed in this paper , and gives the positioning experiments . The fourth chapter details the license plate recognition license plate character segmentation module , and proposed a new differential binarization algorithm , and experimental results are presented . The fifth chapter describes the character recognition algorithm focuses on a character recognition algorithm based the improved Ilansdouff distance . Chapter 6 describes the license plate recognition highway toll of the specific application .

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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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