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Dissertations / Theses on the topic 'License Plate Recognition in Android'

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Published: 4 June 2021

Last updated: 11 February 2022

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1

Liaqat, Ahmad Gull. "Mobile Real-Time License Plate Recognition." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-15944.

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License plate recognition (LPR) system plays an important role in numerous applications, such as parking accounting systems, traffic law enforcement, road monitoring, expressway toll system, electronic-police system, and security systems. In recent years, there has been a lot of research in license plate recognition, and many recognition systems have been proposed and used. But these systems have been developed for computers. In this project, we developed a mobile LPR system for Android Operating System (OS). LPR involves three main components: license plate detection, character segmentation a

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Hortai, František. "Zpracování obrazu v systému Android - detekce a rozpoznání SPZ/RZ." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220899.

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This thesis describes the design and workflow of creating an image processing application in Android system, and what are the possibilities in choosing development environment and how to implement them. Then I am writing about my solutions of creating applications, graphical user interface and an interface for Android. I am describing my approach in the design and functionality of the application, communication with the camera, storing and retrieving data. Further I explain which algorithms were implemented for image processing and image evaluation. Product of this thesis is a functioning appl

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Songke, Li, and Chen Yixian. "License plate recognition." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-9442.

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This paper presents a method for license plate recognition through analysis of vehicle images. Accurate location of license plate and extracting characters of plate are implemented. In the plate location module, the paper puts forward arithmetic of plate edge recognition by morphology algorithms. Meanwhile, Radon transform is used to adjust different angles between viewer and license plate. At last, characters extraction is done by histogram. And the extraction characters are matched with the templates. Experimental results show that this approach can recognize license plates more effectively

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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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ALVARENGA, EDUARDO PIMENTEL DE. "OPTICAL CHARACTER RECOGNITION FOR AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28690@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Sistemas de reconhecimento automático de placas (ALPR na sigla em inglês) são geralmente utilizados em aplicações como controle de tráfego, estacionamento, monitoração de faixas exclusivas entre outras aplicações. A estrutura básica de um sistema ALPR pode ser dividida em quatro etapas principais: aquisição da imagem, localização da placa em uma foto ou frame de vídeo; segmentação dos caracteres que compõe a placa; e reconhecimento destes car

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6

Ho, Wai Yiu. "License Plate Recognition algorithms and their application to Macao license plates." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2182850.

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7

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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Chen, Kai-Min, and 陳楷旻. "Shadow Removal Method for License Plate Recognition and Its Android Electronic License Plate Recognition System Implementation." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/96096944989924891612.

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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>101<br>In License Plate Recognition (LPR) system, License Plate Detection (LPD) and binarization are both key image processing steps. But, under indoor or outdoor scene environments, LPD and binarization are both error-prone to the shadow interference caused by the shadow occlusion on the license plate scene images. Especially for diverse applications of potable and fixed LPR systems, shadow occlusion and interference issue resulting from uneven lighting condition is always necessary to be overcome. So this thesis proposes two shadow removal methods to solve the s

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9

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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Tsao, Jung-Chieh, and 曹榮傑. "A Synthesis of License Plate Recognition System Based on Android Platform." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/24867380101030075849.

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碩士<br>國立高雄應用科技大學<br>電機工程系博碩士班<br>103<br>In the past, intelligent transportation technology is mainly used in the management of the parking lot and clamp down on illegal vehicles, electronic toll collection system and so on, but with the development of the Internet of Things quickly, the rise of smartphones and increasing number of vehicles, intelligent transportation technology has new thought, such as using mobile robot to license plate detection. The traditional license plate recognition system can’t satisfy the requirements which can carry, so the article provides the license plate recogn

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Liu, Kuan-Hung, and 劉冠宏. "Designing Android App of Vehicle License Plate Recognition System Based on Cloud Computing." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/98278623286878303133.

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碩士<br>淡江大學<br>資訊工程學系碩士在職專班<br>100<br>The integration of portable devices and our everyday life is a popular topic in recent years. This thesis attempts to provide an architectural implementation of portable devices, using photographs and networks to build a mobile license plate recognition systems. The system adopted the open source code of the Android platform device and Java applications in building a cloud server. The portable device provides user interface (UI), easy selection of license plates through interaction, and rough positioning the plates via image processing algorithms. The cloud

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Chen, Hsin-Fu, and 陳信富. "Border Stain Removal Method for License Plate Recognition and Its Android Robotic Implementation." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/90325404529184248730.

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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>99<br>Most of License Plate Recognition (LPR) systems have still been applied to fixed scenes. In order to make the LPR system suitable for diverse applications, border stain issue caused by inaccurate license plate localization under complex scenes is studied out in this thesis. Well-known conventional stain removal method , histogram-based stain removal, suffers severely from trapezoid stains residing at the right side and left side, and is difficult to reliably define the threshold for removing the border stains at the upside and downside. So the license plate

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chieh, Lin Li, and 林立杰. "Customized Discriminant Analysis Optical Character Recognition for Diverse-Font License Plate Recognition and Its Android Embedded System Implementation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/bx6dw4.

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碩士<br>國立雲林科技大學<br>電機工程系<br>103<br>Since 2012, there are 2 font types of license plates coexisting in vehicles of Taiwan. Because some identical characters between 2 font types of license plates have low feature similarity, and moreover some different characters between 2 font types of license plates have even high feature similarity. The conventional license plate recognition system based on old-font type of character training dictionary is inevitable to get a seriously poor recognition rate. This thesis proposes Customized Discriminant Analysis Optical Character Recognition (CDA-OCR) for dive

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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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Su, Yan-kuei, and 蘇彥魁. "The Hardware Design of License Plate Detectionfor License Plate Recognition." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/71081954153293962901.

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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>Recently, there have been many researches for license plate recognition (LPR). Many researches focus on the development of novel software programs in the computer for improving varied algorithms. The major goal of the improvement is to enhance the recognition rate for the license plate detection and character recognition. In this thesis, we propose a fast algorithm for license plate detection which is suitable for hardware implementation. A searching area with a fixed rectangular size is applied to search the license plate. In the hardware design, we employ

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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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Chen, Jiun-Chang, and 陳俊昌. "Application-Oriented License Plate Recognition." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/25160484446997385223.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>98<br>The application of License Plate Recognition (LPR)can be generally divided into three applications - access control, traffic law enforcement and road patrol. The major differences of the three applications are on the parameters of different scopes, and the parameters include the size, orientation, and rotation of the plates, and the impacts from different illumination conditions . Plenty of works done on LPR, but most are short of the following information: (1) application scope and (2) performance benchmark database. Because different applications consider dif

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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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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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Fu, Jian-Cheng, and 傅建誠. "Design of License-Plate Recognization System for Android." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/63366432983032744364.

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碩士<br>吳鳳科技大學<br>光機電暨材料研究所<br>100<br>The application and the development of mobile devices have become more diversified with the development of smart phones and tablet PCs. Mobile device has the characteristics of easy to carry. This study of the development platform is based on the Android operating system. Through the convenience of using the smart phones to connect the network, we can build the campus of Wi-Fi wireless network to connect to the WeOCR system to recognize the license plate text. In addition, we will regularly update the database data within the mobile phone to ensure that the

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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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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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MAO, YUNG-HENG, and 毛永亨. "License Plate Recognition for Moving Motorcycles." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/d26f29.

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碩士<br>朝陽科技大學<br>資訊工程系<br>106<br>Currently the license plate recognition technology has been widely used in daily life. It mainly detects the license plate characters by computer vision technology and identifies license plate characters. The object of license plate recognition is usually stationary vehicles, a few are for the recognition of moving vehicles, and its application is subject to a certain degree of restrictions. Motorcycle stability is far less than that of vehicles when moving, resulting in a more unfixed motorcycle license plate's sight angle when moving. Therefore, motorcycle lic

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Su, Cheng-Po, and 蘇政柏. "New Benchmark for License Plate Recognition." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/f2e8e7.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>106<br>License plates, as a unique ID for vehicles, play key roles in numerous applications in, e.g., access control, vehicle searching, and legal enforcement, which prompts increasing need for automatic license plate recognition technique. In contrast to traditional image processing based solutions, deep learning based solution has shown overwhelming improvement in addressing license plate recognition problems in just the past few years. The advancement of deep learning solutions come not only with better network architecture and GPU of high performance but also wi

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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''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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Yeh, Chun-Wei, and 葉濬緯. "The Application of License Plate Recognition." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/kbmcyh.

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碩士<br>淡江大學<br>資訊工程學系碩士在職專班<br>106<br>The invention of vehicles brings great convenience to people and has become an indispensable tool in life. The number of cars is increasing because of the convenience, speed and efficiency it can bring to people. However, reckless driving leads to increase of the probability of traffic accidents. For example, drunk driving, speeding, improper turn, disobeying traffic lights and signs... etc. In recent years, the number of fatalities caused by drunk driving crashes has risen rapidly. The government attempts to reduce drunk driving by applying the strict poli

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Jian-YuChen and 陳建宇. "Hardware Implementation for License-Plate Recognition." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/73288244055615006991.

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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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KUO, KUANG-YU, and 郭光瑜. "Remote License Plate Recognition Via Smartphone." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/47136190966940433238.

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碩士<br>醒吾科技大學<br>資訊科技系所<br>102<br>On January 5, 2011, Taipei Municipal Government officially initiated the city-wide remote video surveillance system comprising 13,699 fixed monitors built at a cost of NTD 1.3 billion and 48 million. The surveillance system includes an automatic license plate recognition technology and can be used to strengthen the governmental traffic management and improve public security. However, the function of the limited fixed monitors provided at specific places by the government seems insufficient and should be enhanced by the use of mobile devices to provide universal

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Oliveira, Neto Francisco Moraes. "Matching Vehicle License Plate Numbers Using License Plate Recognition and Text Mining Techniques." 2010. http://trace.tennessee.edu/utk_graddiss/836.

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License plate recognition (LPR) technology has been widely applied in many different transportation applications such as enforcement, vehicle monitoring and access control. In most applications involving enforcement (e.g. cashless toll collection, congestion charging) and access control (e.g. car parking) a plate is recognized at one location (or checkpoint) and compared against a list of authorized vehicles. In this research I dealt with applications where a vehicle is detected at two locations and there is no list of reference for vehicle identification. There seems to be very little effort

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Chen, Ming-Hong, and 陳明宏. "MSER-based License Plate Character Segmentation and Multilayer Classification for License Plate Character Recognition." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/h9av8e.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>99<br>Vehicle license plate recognition is generally composed of three modules: license plate detection, character segmentation and character recognition. This research focuses on the improvements of character segmentation and recognition modules. The characters are often wrongly segmented because of shadows, unbalanced or extreme illumination on the plates, or large viewing distances or angles from the cameras. This research applies MSER (Maximally Stable Extremal Region) detector to extract the interest regions among the characters, which are then processed by conn

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Feng, Hsin-Tsung, and 馮信璁. "Embedded System Implementation for License Plate Recognition." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/71762219451264254073.

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碩士<br>元智大學<br>電機工程學系<br>98<br>In this paper, we present a license plate recognition system in the embedded system platform. Our system employs the Ada-Boosting technique to train the model in order to detect the license plate. After the license plate is detected, this system will segment the license plate into some characters and will extract the features. Subsequently, we use the SVM classifier to classify the feature classes so as to recognize the accurate character’s meaning. Finally, these meaningful characters are checked by the mechanism of syntax analysis in order to differentiate t

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HSIANG, WEN CHING, and 溫晴翔. "The research of vehicle License Plate recognition." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/49585051125697324465.

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碩士<br>明新科技大學<br>電子工程研究所<br>98<br>For the last decade, License Plate Recognition System (LPRS) is used not only in academic researches but also products developed and applied consecutively in industrial field. However, because of interference from various conditions of environment, LPRS is limited by application field. In this paper, we aim at discussing the problem of Character Recognition (CR) and propose an algorithm to solve the problem. LPRS is usually inefficient and recognizes in error due to the speed of hardware limitation in early days of practical applications. Now it is not the dif

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Li, Yi-Cyuan, and 李逸權. "Skewed License Plate Recognition Using Image Compacting." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/92345223732541322538.

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碩士<br>龍華科技大學<br>電子工程研究所<br>97<br>This paper presents a new method called image compacting to identify the skewed license plate. The advantage of this method is that the license plate recognition (LPR) is invariant to the scaling and skewed angle of the license plate. The license plate recognition system we present consists of license plate detection and license plate recognition. The morphology-based method is adopted to detect the license plate. Then the detected license plate is segmented into characters using projection method. According to the number of segmented characters we can classify

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Chen, Jun-Hao, and 陳鈞豪. "Recognition of Very Low Resolution License Plate." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/62735437293716715114.

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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>The current license plate recognition system most of them are applied in a car stolen vehicle management, inspections, Stolen vehicle investigates, ETC, but the license plate recognition system is rarely used in vehicles to assist in crime, the main reason for this is because when a major case occurs, the police can only in accordance with the roads of cameras to assist at the video cases. Usually, the camera screen road is a low resolution, even the human eye cannot resolve the numbers, because the license plate recognition system can only be confined to clea

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Su, Tsung-mao, and 蘇琮貿. "License Plate Recognition System based on FPGA." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/64871133549872386168.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>100<br>License plate recognition system has been widely researched and developed in the academic sphere and commercial area. The license plate recognition consists of three parts including license plate detection, character segmentation, and character recognition. License plate position uses image processing techniques which include grayscale, thresholding, mathematical morphology, and monnected-component labeling. These image processing have to accessed the neighboring pixels frequently to achieve intended mathematical formulas. To reduce the image data transfers, r

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Shen, Ren-Chau, and 沈仁超. "License Plate Recognition Under Non-Uniform Illumination." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/91755044049124048224.

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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>The license plate recognition plays a key role in intelligent transport systems,applied to parking control, looking for stolen cars, electronic toll collection, vehicle inspection. This paper presents a low computational , high recognition of license plate recognition method. First license plate recognition system development methods to assess the license plate to identify performance. The whole process is divided into pretreatment, the license plate location, character segmentation, character recognition block. In achieving a specific analysis of problems

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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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Huang, Zhung-Long, and 黃正龍. "License Plate Recognition System of Dynamic Vehicle." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/81257750719474967974.

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碩士<br>國立中正大學<br>電機工程研究所<br>92<br>Design of a vehicle recognition system has been investigated for many years in the recognition field. It has been extensively and practicality used in many applications, such as parking lot auto management , automatic tollgate , traffic management , and searching stolen car, and so on. The system can be categorized in two methods, static and dynamic system. In early design many researchers emphasized static systems. First, the car must be parked at a suitable position. Then, the car license plate need to be compensated for the brightness and made som

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Wei, Yu-Chih, and 魏銪志. "Motion Based Multiple Vehicle License Plate Recognition." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/77068346301668085519.

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碩士<br>元智大學<br>資訊管理研究所<br>88<br>License plate recognition systems may be deployed in a variety of applications such as, highway toll systems, traffic control systems, or parking lot management systems. Due to the volatile work environments, it is not practical for a system to claim 100% recognition rate. However, under the circumstances where the environment is controlled to a certain degree, it is not uncommon for the vehicle license plate recognition rate to reach the level of 90s. Most commonly available license plate recognition systems recognize only static pictures. In this stu

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Lee, Chi-Lin, and 李奇霖. "Vehicle License Plate Recognition Using Neural Network." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/20804022389604776869.

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碩士<br>淡江大學<br>資訊工程學系<br>87<br>A practical system aiming at recognizing Vehicle Identification Number (VIN) from a gray-level car image is proposed in the thesis. In general, a vehicle license plate recognition system consists of two indispensable modules — the license plate locator and the VIN recognizer. In systems that apply classical pattern recognition methods, image thresholding is almost indispensable for the VIN recognizer to work well. However, the quality of image usually gets worse after thresholding and a lot of time-consuming image preprocessing and postprocessing steps must be app

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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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Alexandra, Pendry, and 洪彬立. "Improvements to Application-Oriented License Plate Recognition." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/24qpsz.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>99<br>Application-oriented license plate recognition (AOLPR) has been introduced recently. It splits major license plate recognition applications into three major categories: access control, traffic law enforcement, and road patrol according to different scopes of variables considered for different application scenarios. However, several important issues are not solved, and thus become the central concerns of this thesis. These issues include: (1) no comparison study to evaluate the performance of different approaches in making the three modules for plate detection,

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Yu, Chen-Hen, and 游承翰. "License Plate Recognition by Using Deep Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/a779ab.

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碩士<br>國立交通大學<br>機械工程系所<br>107<br>This thesis used deep learning algorithms of YOLOv3 and RetinaNet to make the license plate recognition. The data came from two sources, one from gate monitoring system of the National Chiao Tung University and the other from a personal video recorder carried by a motorcycle rider. In order to simulate the out-of-focus scenario of a video recorder in real situation, a number of the out-of-focus images and the images with noise were added in the training data to test whether these two algorithms can still maintain the original recognition of license plate and id

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Huang, Pin-Kai, and 黃品凱. "License Plate Recognition System Using Scattering Transform." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/50371626420278519354.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>104<br>In this thesis, we proposed a new method for recognizing the Taiwanese car license plates issued since 2012.The proposed method consists of a license plate detection step, a license plate rectification step, a character segmentation step, a feature extraction step, and a character recognition step. The license plate detection step is accomplished by using the OpenALPR, an open source license plate recognition software package.The four corners of the detected license plate are used to compute a homography matrix to rectify the license plate image. A model-base

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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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Tsai, Ming-Han, and 蔡明翰. "License Plate Recognition of a Speeding Vehicle." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/96195837988809667507.

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碩士<br>國立臺灣大學<br>工程科學及海洋工程學研究所<br>97<br>In Taiwan, there are a large amount of cars in this small island, and also it comes millions of tickets because of exceeding the speed limit. Until now, the license plate is recognized manually; it costs a lot of time and manpower. License plate recognition is a powerful method that uses optical character recognition to read the characters of the plate on the car. The purpose of our research is to develop a system that can detect the speed of vehicle. If the vehicle speed exceeds the limit, then the license plate of the car will be located and the charact

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