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Dissertations / Theses on the topic 'LICENSE PLATE DETECTION SYSTEM'

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1

Colberg, Kathryn. "Investigating the ability of automated license plate recognition camera systems to measure travel times in work zones." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49048.

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This thesis evaluates the performance of a vehicle detection technology, Automated License Plate Recognition (ALPR) camera systems, with regards to its ability to produce real-time travel time information in active work zones. A literature review was conducted to investigate the ALPR technology as well as to identify other research that has been conducted using ALPR systems to collect travel time information. Next, the ALPR technology was tested in a series of field deployments in both an arterial and a freeway environment. The goal of the arterial field deployment was to evaluate the optim
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Ning, Guanghan. "Vehicle license plate detection and recognition." Thesis, University of Missouri - Columbia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10157318.

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<p> In this work, we develop a license plate detection method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) features. The system performs window searching at different scales and analyzes the HOG feature using a SVM and locates their bounding boxes using a Mean Shift method. Edge information is used to accelerate the time consuming scanning process. </p><p> Our license plate detection results show that this method is relatively insensitive to variations in illumination, license plate patterns, camera perspective and background variations. We teste
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Luvizon, Diogo Carbonera. "Vehicle speed estimation by license plate detection and tracking." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1380.

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CNPq<br>Sistemas de controle de velocidade são utilizados em vários países para fiscalizar o cumprimento dos limites de velocidade, prevenindo assim acidentes de trânsito. Muitos desses sistemas são baseados em tecnologias intrusivas que requerem processos de instalação e manutenção complexos, geralmente atrapalhando o trânsito. Neste projeto, propõe-se um sistema não intrusivo para estimativa da velocidade de veículos baseado em vídeo. O sistema proposto detecta veículos em movimento utilizando um detector de movimento otimizado. Aplicou-se um detector de texto especializado para localizar a
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Gunaydin, Ali Gokay. "A Constraint Based Real-time License Plate Recognition System." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608195/index.pdf.

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License Plate Recognition (LPR) systems are frequently utilized in various access controls and security applications. In this thesis, an experimental constraint based real-time License Plate Recognition system is designed, and implemented in Java platform. Many of the available constraint based methods worked under strict restrictions such as plate color, fixed illumination and designated routes, whereas, only the license plate geometry and format constraints are used in this developed system. These constraints are built on top of the current Turkish license plate regulations. The plate locali
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Kao, Kung-Chun, and 高孔君. "License Plate Detection on Autonomous Surveillance System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/64794522132045066604.

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碩士<br>玄奘大學<br>資訊管理學系碩士班<br>98<br>Autonomous surveillance systems are widely used as an important tool for security control in public areas. Among the numerous targets of the autonomous surveillance system, license plate recognition can help to identify the terrorist in cars. Uneven lighting conditions happen all the time in an autonomous surveillance system. As a result, traditional license plate detection can’t achieve the goal. In this research, we propose a novel method for license plate localization. The features of a license plate is generated in preprocess through the morphology. Then, a
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Tseng, Wei-Chung, and 曾瑋中. "License Plate Detection System of Low-resolution image." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/67347438421408621209.

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碩士<br>國立雲林科技大學<br>電機工程系碩士班<br>92<br>The amelioration of social order in our country caused by gun-fire event, extortion of car and human hostage, and robberies has greatly influence the society. This crisis has made security check and video surveillance become more important. Currently, the installation of video surveillance cameras is getting popular on the streets of many counties and cities. The recording of the passing vehicles and their license plate in these videos have successfully help the police solving many cases including hit-and-run, extortion of human hostage, etc.. However, searc
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Kao, Sho-tsung, and 高碩聰. "An autonomous license plate detection and recognition system." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/72090163125968579734.

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碩士<br>國立臺南大學<br>數位學習科技學系碩士班<br>96<br>The paper proposed an autonomous license plate detection and recognition system with computer vision. The system consists of four subsystems: car detection subsystem, plate extraction subsystem, character division subsystem and character recognition subsystem. Car detection subsystem uses MMADR and NDDR of dynamic image to find the location of the cars on the screen. Plate extraction subsystem uses the characteristics of the plates and algorithm used to search plates to extract plate; character division subsystem combines Tophat, Labeling and LRE to automat
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Yao, Chou-Yang, and 姚州陽. "License Plate Detection System Implementation by C Language." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/09082221285429681040.

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碩士<br>中華技術學院<br>電子工程研究所碩士班<br>98<br>The purpose of this research was to implement License Plate Detection System by C Language, in which MathWork MATLAB 7.6 and Microsoft Visual Studio 2005 were main development tools. Mex-function was implemented in C Language since it is essentially famous for efficiency, structure, portability and good readability. This study tries to take advantage of MATLAB API to dynamically link MEX library in run-time. The goal is turning script architecture (M-files) into Mex-functions. Programming process adopted a progressive approach to retain the benefits of MATLA
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Hsu, Ren-Wei, and 許仁瑋. "A Real-Time System of Multiple License Plate Detection." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/22040438312555513397.

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碩士<br>國立中興大學<br>電機工程學系所<br>102<br>License Plate Recognition (LPR) has recently played a critical role in applications of Intelligent Transportation System (ITS), such as parking spaces management, records of traffic violations, and searches for stolen cars. However, although research on license plate recognition has been undertaken over many years, in practical applications, the accuracy of detection and identification can decrease because of the complex backgrounds and light changes in capture image. Therefore, recognition systems should be limited to specific environmental settings to obtain
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ANAND, SHUBHAM. "DESIGN AND EVALUATE LICENSE PLATE DETECTION SYSTEM BASED ON SEGMENTATION." Thesis, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18364.

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A continual upsurge in the volume of vehicles has been noticed over the past few decades with the increase in population all over the world. Therefore, tracking of vehicles depending upon the number plates is crucial to guarantee the control of vehicular traffic in competent manner. The vehicles can be detected on the basis of their tags with the help of a new image processing-based technology referred as ANPR (Automatic Number Plate Recognition) the expertise is ahead of time ubiquity to ensure security and traffic management. This system makes use of computer vision approach for
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Chen, Hong-Hsiang, and 陳泓翔. "License Plate Detection and Character Segmentation System Base on SoPC." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/74594443176139988758.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>97<br>In recent years, research and development of automated license plate recognition system in terms of car parking charges or traffic ban. this paper presents the implementation of a real-time FPGA license plate recognition system, and we achieve the detect license detection plate hardware base on SOPC, we got good performance of real-time detection .In this paper, the license plate detection we achieve by using discrete wavelet transform(DWT) and morphology. Furthermore the object Connect Component Labeling method to segment each independent block and identify th
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Sung, Ming-Che, and 宋明哲. "Implementation of License Plate Detection and Recognition System on PDA." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/61703338713751414744.

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碩士<br>元智大學<br>電機工程學系<br>97<br>This thesis mainly aims at discussing how to utilize general handheld PDA equipment, detect and recognize to the license plate of the image. The system is developed on Windows Mobile platform. Seeing that the treatment technology of the image is mostly developed on the PC platform, it is unable to make the system miniaturize, melt and save the cost lightly. The purpose is that hopes through the developing tools of Microsoft and cooperates with PDA equipment, easy to use and convenient characteristic transmitted realize that the license plate detection and recognit
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YANG, ZUO-RONG, and 楊祚榮. "A Real-time License Plate Detection System Based on FPGA." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/86371055107267231251.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>102<br>License plate detection system is a key technology in many applications such as license plate recognition, and front vehicle distance estimation system. Front vehicle distance estimation system can assist drivers’ safety. The system which is designed to assist drivers’ safety is called Advanced Driver Assist Systems (ADAS). For safety reason, it must be stable and real-time. Many algorithms are developed to overcome environment variation. However, the more complex algorithms are, the more difficult to implement on hardware. Up to now, most of the front vehicle
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Ho, Li-Kung, and 何立功. "Implementation of License Plate Detection and Recognition in Embedded System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/82718990873073525284.

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碩士<br>元智大學<br>電機工程學系<br>96<br>A procedure is using Ada-Boosting technique for license plate detection and recognition to develop on hardware platform. According to recent techniques of video processing are almost developed on PC platform, it is heavy, costly, and no space to reduce size of system. However, there are coming more and more embedded systems which are best and best in the future. The goal is making system faster, smaller and cheaper. Our purpose is to develop a license plate system on car and implement it on DSP based hardware system. The principle of our system is made up by fo
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Chen, Chia-Hao, and 陳家豪. "Kinect-Based Static/Dynamic License Plate Detection and Recognition System." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/62902829973826480118.

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碩士<br>淡江大學<br>電機工程學系碩士在職專班<br>100<br>In this paper, we divide the system into three parts: the extraction of the depth information, the orientation of the license plate and the identification of the words. First, we exact the depth information of the license plate on the motorcycle in front of the Kinect to solve the problem of the complex background. Then we use the algorithm to divide the image of the motorcycles sequentially and abstract the image of one motorcycle to do the following process. After that, we apply the Marker Detection Algorithm with the characteristic of searing the square
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Wu, Chun-Yen, and 吳俊諺. "Image Motion Object Detection for License Plate and Gesture Recognition System." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/52083337034293954050.

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碩士<br>國立雲林科技大學<br>電子與資訊工程研究所<br>94<br>The object detection and recognition is failure on static image of an image recognition system that is caused by the complex background of the scene environment. The characteristic of the dynamic image will not encounter the restrictions of the object and background environment that it interests to the moving object. This thesis utilizes this characteristic to detect dynamic vehicle and gesture. We propose two methods to improve the efficiency of dynamic vehicle and gesture detections and increase the precision rate of the tracking object. First, license p
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Chang, Yu-chieh, and 張昱傑. "A Fast License Plate And Vehicle Detection System For Multi-lane." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/45439281941261434912.

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碩士<br>大同大學<br>資訊工程學系(所)<br>101<br>Most current license plate detection (LPD) researches target only on the vehicles on single-lane or in short distance to the camera, i.e. each frame contains only one vehicle, which are not suitable for Intelligent Transport Systems, because license plates detection directly on multi-lane would fail for the adopted edge features would be interfered by varying vehicles and background. Here, we proposed a LPD system which can be applied to both single-lane and multi-lane for road monitoring. In this paper, we proposed a system architecture which is based on loca
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Bai, Chu-Ping, and 白楚平. "Real-Time License Plate Detection and Recognition Based on LabVIEW System." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/rwp9w6.

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碩士<br>國立臺灣海洋大學<br>機械與機電工程學系<br>105<br>In this thesis, LabVIEW system is combined with a webcam to build an Automatic License Plate Recognition System. The image taken by ALPRS is transformed to grey scale image from color space first. Then, the white noise is removed by median filter. Canny edge detection method is used to detect the license plate in the image. Finally, after further morphology process, letters and numbers in the plate image are extracted through template pair technique using pattern matching to achieve license plate recognition.
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Hsu, Ting-Hsuan, and 許庭瑄. "License plate detection and recognition system based on convolutional neural network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/phvh67.

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碩士<br>義守大學<br>電子工程學系<br>107<br>In recent years, automatic license plate recognition (ALPR) system is applied in some traffic-related applications based on deep learning. However, most ALPR systems capture a mostly frontal view of the vehicle and license plate (LP) to obtain high LP recognition rates. This is because the traditional ALPR cannot capture the correct area of oblique LP which results in an error in character recognition or missing characters. As a result, the traditional ALPR will largely reduce the accuracy of recognition for oblique LP. Recently, Silva et al. [12] proposed a warp
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Wang, Shih-han, and 王詩涵. "Automatic Multiple Vehicles’ License Plate Detection and Recognition System in Complex Environment." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/25731700373072197341.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>101<br>This system is specially built for Taiwan’s environment. It has 4 parts: image preprocessing, multiple license-plate detection, normalization and recognition. In image preprocessing, this system takes the benefit of license plate’s color feature then come out a color differential edge detection (CDED) algorithm combines with horizontal Sobel mask, which can erase 62.5% of uninteresting pixels. In detection part, finding edge pixel of character feature then using morphology and density filter extracts the real license plate region. This method can find all lice
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Jiang, Jia-bin, and 江嘉斌. "Wiener-Deconvolution Vertical Edge Enhancement Method for License Plate Detection and Its Android Embedded System Implementation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/48544259186305328633.

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碩士<br>雲林科技大學<br>電機工程系碩士班<br>98<br>Related researches and applications of License Plate Recognition (LPR) have been proceeding for decades. But, in practice, the license plate detection rate is usually error-prone to various backgrounds, illuminations, or skews. So is the subsequent character recognition rate. This is why most of the license plate recognition system just can work well under specific circumstances. Specifically, License plate detection is the fundamental step in LPR. In general, the license plate region is usually detected by the strong vertical edge feature of its interior char
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Chung, Meng-Liang, and 鐘孟良. "The Study of Vehicle Detection Technologies for the Application of License Plate Recognition Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/v3nwbn.

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博士<br>國立交通大學<br>電控工程研究所<br>104<br>With the development for “Internet of Things (IoT)” technology, Internet of Vehicle technology has become mature. Such systems, nevertheless, focus only on individual vehicle’s driving conditions and often ignore that of the surrounding vehicles, thus making “Internet of Vehicle (IoV)” technology significantly crucial. This paper proposes two systems to obtain the big data analytics of moving vehicles, and to construct a safety and wisdom road system by IoV. The first proposed system utilizes the location of the vehicle to trigger the camera to capture an imag
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tsai, Sung-nien, and 蔡松年. "Dynamic Car License Plate Detection." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/22083988530781627442.

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碩士<br>中華技術學院<br>電子工程研究所碩士班<br>98<br>License plate recognition system is widely used in a lot of areas such as in the automation of parking lot toll station and in helping to detect stolen vehicle. Previous studies are essentially in static system needed to use a image in which the license plate is fangzheng, however, in this way the vehicle's location and the mobility and the environment must be satisfied some conditions. This study focuses on the dynamic vehicle license plate recognition using video car image when car is moving. In the first, the source images are filmed from the camera. Then
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Chan, Shan-Lun, and 詹尚倫. "Double-line License Plate Detection and Character Segmentation in License Plate Recognition." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/16458793482041748762.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>104<br>As automatic license plate (LP) localization and recognition getting popular, the requirement of accuracy is rising, too. Most of LP localization systems can be divided into two categories, one is based on technique of image processing and computer vision using edge detection methods such as Sobel operator for gradient computation and search for areas with high texture density as reasonable LP positions; the other is based on machine learning using adaptive boosting with Haar-like features. The accuracy of both methods is close to 100%. Based on the results
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Chow, Jiunn Nan, and 周俊男. "License Plate Recognition System." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/35737856446114458856.

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碩士<br>國立中山大學<br>資訊工程研究所<br>83<br>In this thesis, we develop a license plate recognition system. The system first automatically locate the location of license plate ,and then use the mathematical morphology to do recognition. Traditional character recognition systems use segmentation, thinning, stroke detection and so on. From the strokes relationship, they use a similarity measure to select best matched character. In this thesis, we use the mathematical morphology method to extract the prop
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Hsu, Po-Cheng, and 許伯誠. "License Plate Recognition System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/05825350829541238670.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程所<br>95<br>License plate recognition system can be used extensively in management of parking lot and appliance of stolen car searched、road controlled,car controlled of police unit. However, one of the reasons of unable to popularize is that there is still a lot to improve in distinguish technology. For example, license plate orient rate、word distinguish rate、resist background noise ability, etc. Therefore, the thesis of this research paper is to improve the accuracy of auto license plate recognition system. Due to the full-developed image processing technology nowad
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Wang, Chung-Shan, and 王中山. "Using Wavelet for License Plate Detection." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/17481954720232205208.

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碩士<br>國立中山大學<br>機械與機電工程學系研究所<br>92<br>Based on digital image processing techniques, the goal of this work is develop a method to automatically detect license plates. To achieve this goal, this thesis uses wavelet transform to first find the position of the license plate. A number of image processing techniques are then developed to identify each character on the license plate. Finally, experimental results are given to demonstrate the effectiveness of the proposed approach, which is the followed by a simple conclusion.
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Chen, Ching-Hung, and 陳慶鴻. "The Design of License Plate Detection." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/8h7muv.

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碩士<br>正修科技大學<br>電機工程研究所<br>95<br>The vehicle management consists of traffic flow control, vehicle crime preventing and the punishment in the violation on vehicle’s rules and regulations. With the improvement of living level in Taiwan, the quantity of vehicle and motorcycle is constantly increasing, and the government has been devoting its effort to plan an efficient transport network, to monitor the traffic at the key crossings and the management of parking lots. However practicable the execution of the traffic scheme runs, it is necessary to apply the license plate recognition on the punishme
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Chuang, Chia-Lung, and 莊佳龍. "Vehicle Detection and License Plate Recognition." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/57361447713712641354.

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碩士<br>國立中正大學<br>光機電整合工程研究所<br>93<br>License plate recognition system has been extensively used in a variety of applications, such as parking lot management of community and buildings, and searching stolen car of police departments, roadway monitor, car management and so on。In the past study, the needed car is catched by the method of responding and activating. In this system, the video camera continuously shoot the motion-based vehicle and the video frames are analyzed by shadow detection, vehicle location, size of license plate to catch the needed image including vehicle automatically. Moreov
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Su, Hao-Ping, and 蘇浩平. "License Plate Detection in the Wild." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/89h2nh.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>105<br>License Plate Detection (LPD) is the pivotal step for License Plate Recognition. In this work, we explore and customize state-of-the-art detection approaches for exclusively handling the LPD in the wild. In-the-wild LPD considers license plates captured in challenging conditions caused by bad weathers, lighting, traffics, and other factors. As conventional methods failed to handle these inevitable conditions, we explore the latest real- time deep learning based detectors, namely YOLO (You- Only-Look-Once) and SSD (Single Shot Multi-Box Detector), and customize
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Chiang, Chang-Yun, and 江長運. "Plate- and Character-based AdaBoost License Plate Detection and Its Android License Plate Recognition Recorder Implementation." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/86923239518107813208.

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碩士<br>國立雲林科技大學<br>電機工程系碩士班<br>100<br>License Plate Detection (LPD) is the fundamental step to License Plate Recognition (LPR). If the license plate localization result of LPD is not exact enough, subsequent OCR step is unnecessary to be carried out. Most especially, on mobile or portable LPR devices, the accuracy of LPD severely suffers from the environmental interferences, like complex background, illumination variation, scene alternation. So most traditional LPR system only can work out for invariant and specific scenes. In order to overcome the LPD difficulty of mobile or portable LPR devic
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Tsai, Chien-Tsai, and 蔡建材. "Automatic License Plate Recognition system." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/48475416792944540060.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>93<br>A real-time automatic license plate recognition system is proposed in this paper to identify the license plate quickly and accurately in the unrestricted environment, e.g. different lighting conditions and various vehicles. The proposed system mainly includes two procedures: license plate locating and character recognition. In license plates locating procedure, we convert the color image into grey level data first. Then apply the morphology technique to find out the location of license plate. The objective of the research is to increase the recognition rate of
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Wang, Hui-Chuan, and 王惠娟. "License Plate Automatic Identification System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/71539842292443773183.

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碩士<br>遠東科技大學<br>機械工程研究所<br>99<br>License plate recognition can be divided into the following three sub-systems: license plate location, character segmentation and character recognition. In this study the main stress falls on the license plate location and character recognition sub-systems. The images of vehicles in the parking lot on campus would be the test examples to examine the license plate recognition system developed by our research. The license plate recognition system would find the location of license plate and recognize the characters on it. The main difference between then general
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Tseng, Chien-hao, and 曾建豪. "Smartphone License Plate Recognition System." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/36788628071050399131.

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碩士<br>國立中央大學<br>資訊工程學系碩士在職專班<br>100<br>In this thesis, we develop a license plate recognition system on Android smart phone. The proposed method consists of five stages: image pre-processing, license plate locating, orientation correction, character segmentation, and character recognition. The major properties are: (i) Segmentation of license plates is invariant to size of license plates. (ii) Segmentation of license plates is invariant to color of cars. (iii) The license plate extraction method is based on length/width proportion and color of license plates. (iv) Segmentation of license plate
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D'Souza, Aaron, and Saprem Dalal. "Automatic License plate Recognition System." Thesis, 2011. http://ethesis.nitrkl.ac.in/2482/1/Automatic_License_plate_Recognition_System(107cs040%2C107cs030).pdf.

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Intelligence surveillance is an important commodity in traffic-based systems. Automatic License Plate Recognition (ALPR) is a challenging area of research. This work deals with problems related to artificial intelligence, neural networks and machine vision in the construction of an automatic license plate recognition (ALPR) system. This is done using mathematical principles and algorithms. These intelligent systems help in traffic monitoring during rush hours, road safety, commercial applications like in car parking lots and law enforcement. In this paper, a license plate recognition system is
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Chang, Chih-Chieh, and 張智傑. "Vehicle License Plate Detection Using Integral Image." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/k3n682.

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碩士<br>大同大學<br>資訊工程學系(所)<br>102<br>Locating and recognition of vehicle license plate has always been a research direction of image processing. Compared to traditional methods using color and edge features for license plate detection, the proposed block scanning of edge image could immediately identify candidate plate regions of different distances. By using edge informant, the proposed is also effective and robust under variety of weather conditions. Firstly, the proportion of license plate is used to setup possible block sizes for edge image scanning. While doing block scanning, we could quick
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Wu, Meng-Tsung, and 吳孟璁. "Automatic Vehicle License Plate Recognition System." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/96706197081543255915.

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碩士<br>淡江大學<br>資訊工程學系<br>86<br>In this thesis, we develop an effective and fast automatic vehicle license plate recognition system. From a digital vehicle image without presetting the location and size of the license plate, the proposed system can automatically find the location of the plate, isolate the letters and digits occurring in the plate, and then recognize the characters. The system includes three parts: license plate location, character isolation, and character recognition. Images
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Huang, Yu-jung, and 黃鈺榮. "DSP-Based License Plate Rcognition System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/56264245796169080783.

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碩士<br>國立聯合大學<br>電機工程學系碩士班<br>98<br>A fast license-plate recognition algorithm will be proposed in this thesis. It has two main features as described in the following: (A) The so-called Color Repetition Density (CRD) is introduced to be a measure of license plate location. (B) The scan coding technique is developed to achieve license plate OCR with very low computation complexity. This algorithm is verified by the simulation using MATLAB. The corresponding results show the rate of success is 86%. In addition, it is further ported to TI’s DSP chip named DM-6437 to test its real performance of li
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OU, YUAN-LIANG, and 歐原良. "A Portable License Plate Recognition System." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/37920587265579440474.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>100<br>Nowadays, most researches on the license plate recognition system are implemented by computers with fixed cameras. However, most of them operate under restricted conditions, such as static background, fixed shooting angle, and limited number of cars. In this research, as few constraints as possible on the working environment are considered. Our study focuses on the development of a real-time multiple vehicles license plate recognition system on embedded devices with algorithms in low computational complexity and camera shooting angle in large range. It consist
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CHEN, YI-AN, and 陳怡安. "License-Plate Recognization System for School." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/48277871401523615776.

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碩士<br>僑光科技大學<br>資訊科技研究所<br>102<br>License plate recognition(LPR) technology has been developed over the years, and this technology has been used in the parking lot, but mostly fixed formula based, due to the volume of a small locomotive and moving fast, is not suitable for use sentinel-like way, so in most cases, the human way vehicles for parking violations billing action. This study aims to identify your smartphone confirm whether the vehicle license plate number and have to pay the parking fee, in order to enhance the efficiency of management. In order to implement the convenience and pract
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Song, Yong-Sheng, and 宋永勝. "License Plate Recognition and Management System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/aqrwhy.

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碩士<br>樹德科技大學<br>電腦與通訊系碩士班<br>106<br>In this paper, we design a license plate identification management system for the control of vehicles. In this system architecture, including a web page with a manager management function system, and a mobile APP that views and controls push notifications. We use a high-quality camera to capture the vehicle&apos;&apos;s license plate and recognize the image alphanumeric, after identification, the data such as alphanumeric data is transmitted to the server side together with the captured image. The server software receives the data and compares it with the li
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Lu, Chien-Te, and 呂建德. "Implementation of License Plate Recognition System." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/ne2t59.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>97<br>The purpose of this thesis is to explain how the indoor parking system uses the license plate recognition to shorten the user''s waiting time. License plate locating and segmentation of the plate characters are quite time consuming in license plate recognition. So this thesis presents high-speed License plate locating and segmentation of the plate characters methods. First, decrease and gray the license plate image which will decrease the operational volume. Then use Bottom hat transform to indicate the bottom value of the original image and locate the license
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Chu, Yu-Kai, and 朱昱暟. "Preliminary Study for the Detection of License Plate." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/26157255937510924805.

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碩士<br>中華技術學院<br>電子工程研究所碩士班<br>97<br>The purpose of this study is exacting the location of car license plate for the car license recognition system to obtain the contents of the car license. In the beginning process, a median filter and a vertical edge enhanced filter are used to reduce the disturbance from background and to reveal the characteristics of car license. The next step is detecting the pattern edge by using a gray-scale gradient operator which can make the edge of car license clearer. Then, a binarization process for reducing the amount of data to speed up the process for the next
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Chen, Ko-Chih, and 陳克智. "License Plate Detection and Recognition of Smart-Phone." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/01428773053617602065.

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碩士<br>國立中央大學<br>資訊工程學系碩士在職專班<br>99<br>This paper presents an approach for license plate recognition using a camera-equipped smartphone. The proposed method provides a reliable and accurate technique to solve the problem of license plate recognition caused by the skew and shadow on the license plates. There are four stages in the proposed approach: license plate location, license plate rectification, character segmentation and character recognition. In the first stage, we locate the license plate by accumulating edge points, and then analyze the edge points and accumulation associated with vert
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Gajula, Nanda kishore. "Study of object detection and reading(license plate detection and reading)." Thesis, 2011. http://ethesis.nitrkl.ac.in/2857/1/nanda_final.pdf.

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Object detection means finding the location of the object and recognizing what it is. The techniques used for the object detection are feature matching algorithm, pattern comparison and boundary detection. The feature matching algorithm is used to find the best matching object in the knowledge base and to implement the reconstruction of the object recognized. Our object detection is to detect the license plate detection of the car. To detect the license plate of a car first pre-process the image. The commonly license plate l
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Chhabada, Sandeep Singh. "Heuristics for license plate localization and hardware implementation of Automatic License Plate Recognition (ALPR) system." Thesis, 2012. http://ethesis.nitrkl.ac.in/3352/4/Heuristics_for_license_plate_localization_and_hardware_implementation_of_Automatic_License_Plate_Recognition_(ALPR)_system.pdf.

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The project “Heuristics for license plate localization and hardware implementation of Automatic License Plate Recognition (ALPR) system” deals with detection and recognition of license plate from a captured front view of any car. The work follows all the steps in an ALPR system like preprocessing, segmentation, and license plate identification, extraction of individual characters and finally recognition of each character to form a string to match with the registered License plate numbers. The main contribution in the work is to expedite the number plate isolation from a set of segmented candid
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Guo, Ming-Feng, and 郭銘峰. "An Efficiency Recognition System for License Plate." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/70870433128232365966.

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碩士<br>國立中興大學<br>應用數學系所<br>105<br>Although the popularity of transportation brings great convenience to people, it still causes a lot of problems. According to the statistics of motor vehicle registration from the Ministry of Transportation and Communications in Taiwan in 2017, there are increases and decreases in the number of motor vehicles, road traffic accidents, and road traffic offences. However, most of these traffic accidents and traffic offences are handled manually. For the sake of convenience, if these problems can be dealt with a complete system, a large amount of manpower in these
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Chen, Hsiang-Chieh, and 陳翔傑. "Automatic vehicle license plate recognition system design." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/26720851603323695840.

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碩士<br>國立中央大學<br>電機工程研究所<br>93<br>Recently, vehicle license plate recognition system plays an important role in intelligent transportation system. This paper will propose an algorithm with low computation and high recognition rate algorithm to realize a real time license plate recognition system. We divide our system into three stages, including license plate locating, characters segmentation and characters recognition. A novel method for extracting license plate in complex background is proposed. Due to the influence of lighting effects, tilt or dirty of the license plate, we also create a met
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Chen, I.-Chih, and 陳奕志. "Constructing Embedded Car License Plate Recognition System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/91717196909075534200.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>93<br>Embedded System is a computing platform designed for specific purpose. Because it’s task is much simpler than personal computer which is designed for general computing purpose, Embedded System can simplify its hardware architecture, cost down its hardware price, produce smaller device and low energy consumption. It also fits to be mobile computing platform. But Embedded System is constrained by its simple architecture; its processing power is much slower than personal computer. This paper purpose a software porting procedure between personal computer and Embedd
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CHIOU, CHIH-KUO, and 邱智國. "Implementation of A License Plate Recognition System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/dkfvjb.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>95<br>The development of transportation is very important to a development country because the manipulation of economy need to depend it to propitious operation. Therefore, to build the Intelligent Transportation System (ITS) by means of electronic with information, network. The purpose of the ITS is to improve traffic efficiency and decrease traffic crowded and protect traffic accident. The thesis is to combine techniques of image processing and machine vision to build a license plate recognition system for ITS. The thesis propose a satisfactory strategic to improv
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