| Titre : | License plate recognition (cases studies algerian registration) |
| Auteurs : | Abdelmoutia Telli , Directeur de thèse |
| Type de document : | Monographie imprimée |
| Editeur : | Biskra [Algérie] : Faculté des Sciences Exactes et des Sciences de la Nature et de la Vie, Université Mohamed Khider, 2015 |
| ISBN/ISSN/EAN : | MINF/03 |
| Format : | 65 / ill., couv. ill. en coul / 30 cm |
| Langues: | Français |
| Langues originales: | Français |
| Résumé : |
In the Automatic Number Plate Recognition System (ANPR), Plate Number Location and Character segmentation are very important parts of an ANPR system before Recognition part. In this dissertation, plate number localization and character segmentation using mathematical morphological approach and regional features of images are discussed from the proposed ANPR system of vehicles in Algeria. The proposed algorithm consists of three main modules: Pre- processing (cutting and resizing, convert RGB image to grayscale image, image binarization use Otsu method), Finding Region of Interest(morphology opening to remove noises & dilation operation, measure properties of image regions to find candidates), License plate exactly location (finding the LP angle & rotating LP, cut exactly LP region). The Character segmentation also consist three parts: Eliminate incrimination of the binary using boundary features, removes impurities using regional features and morphological process, and divide character into sub- images. The results show an average of 86% successful plate number localization and segmentation for proposed ANPR system in a total of 60 images captured from a complex outdoor environment in Algeria. Implementation was done using MATLAB Version (R2013b) |
| Sommaire : |
Table of Contents Abstract .................. II Acknowledgment .......... III Table of Contents ...... IV List of Figures ................. X List of Tables .............. XI General Introduction……………………………………………………………………………….…………..……XII Chapter One: Literature View Introduction ……………………………………………………………..………………………………………..p1 1.1-History of license plate…………………………………………………………………………………….p1 1.2-License plate in Algeria ………………………………………………..………………………………..p3 1.2.1-Normal series ………………………………………………………..…………………………….….p4 1.2.2 The Special Series …………………………………………………………………………………….p5 1.2.2.1- Free import ………………………………………………………………………………………p5 1.2-2-2 Temporary Importation (IT)……………………………………………………………….p6 1.3-Automatic Number Plate Recognition (ANPR)……………………….……………………….p7 1.3.1- ANPR Performance………………………………………………………………………………..p8 1.3.2- ANPR system…………………………………………………………………………………………p9 1.3.2.1- OVERVIEW OF ANPR SYSTEM………………………………………………………….p9 1.3.2.2- Typical LPR system………………………………………………………………………….p11 1.3.2.2.1- Hardware Components…………………………………………………………….p12 1.3.3- Types of LPR Systems…………………………………………………………………………..p16 1.3.3.1-Fixed……………………………………………………………………………………………p16 1-3-3-2-Mobile………………………………………………………………………………………..p18 1-3-3-3 Portable Systems………………………………………………………………………..p19 1.4-Applications of ANPR …………………………………………………….……p20 1.4.1- Public Safety……………………………………………………………………………….………….p20 1.4.2- Intelligent Transportation……………………………………………………….………….…..p22 1.4.3- Parking and Access Control……………………………………………………………………..p23 Conclusion……………………………………………………………………………………………………………p25 Chapter Two : License Plate Recognition Algorithms Introduction………………………………………………………………………………………………………..p26 2.1-Historical view…………………………………………………………………………………………….p26 2.2-Image Acquisition……………………………………………………………………………………….p26 2.2.1- Different type of image acquisition methods……………….………………….p26 2.3-License Plate Detection Algorithms……………………………………………………….p26 2.3.1- Detection Algorithms Using Binary Image Processing………………………p27 2.3.1.1-Edge Statistics and Morphological Analysis…………………….…………..p27 2.3.1.2-Connected Component Analysis……………………………………..…………..p27 2.3.1.3-Spatial Measurement……………………………………………………...………….p28 2.3.2-Detection Algorithms Using Grey Scale Processing…………………….……..p29 2.3.2.1-Image transformation………………………………………………….…………….p29 2.3.2.2-Region Segmentation…………………………………………………………………p29 2.3.2.3-Edge Counting……………………………………………………………………………p30 2.3.2.4-Block Based……………………………………………………………………………….p31 2.3.3- Other License Plate Detection Algorithms……………………………………….p31 2.3.3.1- Colour Processing…………………………………………………………………….p31 2.3.3.2- Fuzzy Set Theory………………………………………………………………………p31 2.4- License Plate Segmentation Algorithms 2.4.1- Segmentation Algorithms Using Binary Image Processing……………..p33 2.4.1.1- Projections………………………………………………………………..…………..p33 2.4.1.2- Mathematical Morphology…………………………………………………….p33 2.4.2- Segmentation Algorithms Using Grey Scale Processing………………….p34 2.4.2.1- Local and Adaptive threshold………………………………………………..p34 2.4.2.2- Classifiers……………………………………………………………………………...p35 2.5- License Plate Recognition Algorithms………………………………………………..p35 2.5.1- Support Vector Machine………………………………………………………………p35 2.5.2- Neural Networks…………………………………………………………….……………p36 2.5.3 Template Matching…………………………………………………………….………..p37 2.6-Features of Algorithm…………………………………………………………….…………. p38 2.6.1- plate types……………………………………………………………………….….……..p38 2.6.2-Environment variations……………………………………………………..………..p38 Conclusion……………………………………………………………………………………………..p38 Chapter Three: Conception and proposed system Introduction………………………………………………………………………………………..p40 3.1-Image pre-processing…………………………………………………….……………..p40 3.1.1-Image Acquisition………………………………………………………………….…p41 3.1.2-Convert image to grayscale level……………………………………………..p41 3.1.3- Edge Detection by Using Sobel Operator………………………………..p43 3.1.4-Normalization…………………………………………………………………………p44 3.1.5- Otsu’s Binarization Method…………………………………………………..p46 3.2-License plate location and extraction…………………………………….……p46 3.2.1-Mathematical morphology……………………………………………….…...p47 3.2.1.2-Threshold on Edge Histogram+ Candidate Plate Rows…..….p49 3.2.1.3-Masked Plate……………………………………………………………..….…p50 3.2.1.4-Morphology (Dilation - Vertical) (Dilation - Horizontal)…....p51 3.2.1.5-Filling the probable holes………………………………………….………p52 3.2.1.6- Joint Places………………………………………………………………………p52 3.2.1.7- Erosion…………………………………………………………………………….p53 3.2.2-Plate location………………………………………………………………………..p53 3.2.3-Plate cropped………………………………………………………………………..p55 3.4- Character Segmentation……………………………………………………………..p56 3.4.1 Horizontal - vertical analysis…………………………………………………p56 3.4.2 Algorithm of selecting character from possible objects…………p57 3.5.2 Database matching phase…………………………………………………….p60 Conclusion………………………………………………………………… |
| Type de document : | Mémoire master |
Disponibilité (1)
| Cote | Support | Localisation | Statut |
|---|---|---|---|
| MINF/03 | Mémoire | bibliothèque sciences exactes | Consultable |
