Готові списки джерел за темами / License Plate Recognition System

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Добірка наукової літератури з теми "License Plate Recognition System"

Автор: Grafiati
Опубліковано: 7 червня 2025
Оновлено: 2 серпня 2025

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Статті в журналах з теми "License Plate Recognition System"

1

Wang, Rui Feng, Xiao Jin Fu, and Wei Xu. "License Plate Recognition System Design." Applied Mechanics and Materials 738-739 (March 2015): 639–42. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.639.

Повний текст джерела
Анотація:
The license plate recognition system is an important part of modern traffic management. application which is very extensive. In this paper, a method to achieve three main modules split from the image pre-processing, license plate location and character. Image pre-processing module of this article is to image gray and step by Roberts operator edge detection. License plate positioning and segmentation using mathematical morphology is used to determine the license plate location method, and then use the license plate color information of color segmentation method to complete the license plate par
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2

Li, Bo, Zhi Yuan Zeng, Hua Li Dong, and Xiao Ming Zeng. "Automatic License Plate Recognition System." Applied Mechanics and Materials 20-23 (January 2010): 438–44. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.438.

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Анотація:
This paper proposed an algorithm for license plate recognition system(LPRS). The vertical edge was first detected by sobel color edge detector. Then, the invalid edge was removed regarding edge density. Next, the license plate(LP) image was converted into HSV color model, and by edge density template and fuzzy color information judgement, the LP region was located. Then, color-reversing judgement and tilt correction was conducted. Afterward, characters were segmented by means of vertical projection and convolution, by which character width and position can be exactly confirmed, and character r
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3

Vishakha, Hanumant Jagtap, Vikas Dhotre Rohit, Rajendra Khandare Utkarsh, Narayan Khuspe Harshada, and Kokare Rohini. "Automatic license plate recognition system." ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA 10, no. 48 (2024): 01–06. http://dx.doi.org/10.5935/jetia.v10i48.955.

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4

NAIDU, T. D. V. A. "Automatic License Plate Recognition." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44494.

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Анотація:
Automatic license plate recognition using Image processing offer students a unique opportunity to gain hands-on experience in designing and optimizing the Embedded system. This typically involve working with industry professionals on actual projects, providing interns with valuable exposure to real-world challenges and best practices in the field of Embedded system. During the project, participants are often tasked with designing using specialized software tools like MATLAB. In recent times, the number of vehicles on road has exponentially risen due to which traffic congestion and violations a
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5

Ning, Yuan, Yao Wen Liu, Yan Bin Zhang, and Hao Yuan. "Extraction of License Plate Region in License Plate Recognition System." Applied Mechanics and Materials 441 (December 2013): 655–59. http://dx.doi.org/10.4028/www.scientific.net/amm.441.655.

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Анотація:
Extraction of License plate region is an important stage in the intelligent vehicle license plate recognition system. A practical license plate extraction algorithm based on edge detection and mathematical morphology is presented, the algorithm mainly consists of six modules: pre-processing, edge detection, binaryzation and denoising, morphology operation, filtration of connected regions, finding license plate region. From the experiments, the algorithm can detect the region of license plate quickly with 98% average accuracy of locating vehicle license plate region.
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6

Neves, Júlio da Silva, Maria Eduarda Silva Werlang, Victor Rafael Ferreira de Roma, Andreza Maria de Souza Rocha, and Jeferson Roberto de Lima. "SR'S: License plate recognition." EnGeTec em Revista 1, no. 1 (2024): 76–84. https://doi.org/10.5281/zenodo.10905888.

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Анотація:
This article aims to address the growing problem arising from the exponential increase in the number of vehicles in circulation around the world, which is resulting in increasingly complex challenges about urban traffic. To solve this pressing issue, a project called the Security Recognition Service (SR’s) was conceived. This project proposes automated solutions through the implementation of a device equipped with an advanced license plate recognition system. This device is complemented by a highly specialized data management system, specifically tailored to meet the needs of condominium
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7

Sukaina, Sh Altyar, Shams Hussein Samera, and Ahmed Tawfeeq Lubab. "Accurate license plate recognition system for different styles of Iraqi license plates." Bulletin of Electrical Engineering and Informatics 12, no. 2 (2023): 1092~1102. https://doi.org/10.11591/eei.v12i2.4186.

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Анотація:
Automatic license plate recognition (ALPR) used for many applications especially in security applications, including border control. However, more accurate and language-independent techniques are still needed. This work provides a new approach to identifying Arabic license plates in different formats, colors, and even including English characters. Numbers, characters, and layouts with either 1-line or 2-line layouts are presented. For the test, we intend to use Iraqi license plates as there is a wide range of license plate styles written in Arabic, Kurdish, and English/Arabic languages, each d
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8

Sh Altyar, Sukaina, Samera Shams Hussein, and Lubab Ahmed Tawfeeq. "Accurate license plate recognition system for different styles of Iraqi license plates." Bulletin of Electrical Engineering and Informatics 12, no. 2 (2023): 1092–102. http://dx.doi.org/10.11591/eei.v12i2.4186.

Повний текст джерела
Анотація:
Automatic license plate recognition (ALPR) used for many applications especially in security applications, including border control. However, more accurate and language-independent techniques are still needed. This work provides a new approach to identifying Arabic license plates in different formats, colors, and even including English characters. Numbers, characters, and layouts with either 1-line or 2-line layouts are presented. For the test, we intend to use Iraqi license plates as there is a wide range of license plate styles written in Arabic, Kurdish, and English/Arabic languages, each d
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9

TARNG, WERNHUAR, and CHIEN-LUNG LI. "ENHANCING THE ACCURACY OF LICENSE PLATE RECOGNITION SYSTEMS WITH THE ANGLE RECOVERY METHOD." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 08 (2013): 1350025. http://dx.doi.org/10.1142/s0218001413500250.

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Анотація:
The motor vehicle is an important way of transportation for modern people, and its license plate is just like our identification cards which can be used for effective management of motor vehicles. Hence, the development of a recognition system for license plates can reduce the workload of managing motor vehicles. A license plate recognition system based on computer vision often causes recognition errors due to the plate's angle problem and thus needs to be assisted by manual recognition. In this study, a recovery method for license plate images with large angles is proposed based on perspectiv
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10

Aarti, Soni* Dr.Raman Chadha Sukhmeet Kaur. "A REVIEW PAPER ON RECOGNIZE AUTOMATIC NUMBER PLATE AND BLURRED NUMBER PLATES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 5 (2016): 719–24. https://doi.org/10.5281/zenodo.51910.

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Анотація:
This review paper provides a brief survey on various recognition techniques for automatic number plate recognition (ANPR) in image processing. ANPR is real –time embedded system which uses number plate to identify the vehicle. This expertise is in advance popularity in security and traffic installations. License plate recognition system is an application of computer vision. Computer vision is a method of using a computer to take out high level information from a digital image. The useless homogeny among different license plates such as its dimension and the outline of the license plate.
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Дисертації з теми "License Plate Recognition System"

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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Анотація:
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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2

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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Анотація:
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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3

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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4

Chow, Jiunn Nan, and 周俊男. "License Plate Recognition System." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/35737856446114458856.

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Анотація:
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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6

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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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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Анотація:
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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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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Анотація:
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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Книги з теми "License Plate Recognition System"

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Auditor, Colorado Office of State. License plate management system, performance audit. Colorado State Auditor, 2002.

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2

Shaheen, Iyad. Car Radar System,from Design to License Plate Recognition. Lulu Press, Inc., 2012.

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3

Sahoo, Santosh Kumar. Real-Time Implementation of License Plate Recognition (Lpr) System. GRIN Verlag GmbH, 2018.

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4

Shah, Rajiv, and Brendan Mcquade. Surveillance, Security, and Intelligence-Led Policing in Chicago. Edited by Larry Bennett, Roberta Garner, and Euan Hague. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040597.003.0012.

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This chapter summarizes the Chicago Police Department’s adoption of Intelligence-Led Policing (ILP) since the early-2000s as a crime prevention and deterrence strategy. It reviews the use of technology such as police observation devices (cameras), the centralization of the Police Department’s data operations at the Crime Prevention and Information Center, a sophisticated data analytics “fusion center,” and examines changing technologies of surveillance used by the police. The authors discuss the integration of police surveillance with privately-owned and operated camera systems, and explore ho
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Частини книг з теми "License Plate Recognition System"

1

Burry, Aaron, and Vladimir Kozitsky. "Automated License Plate Recognition." In Computer Vision and Imaging in Intelligent Transportation Systems. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118971666.ch2.

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Sarfraz, Muhammad, and Mohammed Jameel. "License Plate Recognition System: Saudi Arabian Case." In Computer-Aided Intelligent Recognition Techniques and Applications. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470094168.ch2.

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Elsaid, Shaimaa Ahmed, Haifa Alharthi, Reem Alrubaia, et al. "Arabic Real-Time License Plate Recognition System." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36368-0_12.

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Gupta, Rohan, Saksham Maurya, and Nidhi Sindhwani. "License Plate Recognition System Using Computer Vision." In Intelligent Systems Design and Applications. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64650-8_30.

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El Ghmary, Mohamed, Younes Ouassine, and Ali Ouacha. "License Plate Character Recognition System Using YOLOv5." In Artificial Intelligence and Smart Environment. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26254-8_85.

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Zhang, Chao, Yonghang Tai, Qiong Li, Tao Jiang, Weimin Mao, and Hao Dong. "License Plate Recognition System Based on OpenCV." In 3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3391-1_28.

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Pham, Van Huy, Phong Quang Dinh, and Van Huan Nguyen. "CNN-Based Character Recognition for License Plate Recognition System." In Intelligent Information and Database Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75420-8_56.

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Shen, Ren-Chao, and Day-Fann Shen. "License Plate Recognition Under Nonuniform Illumination." In Intelligent Technologies and Engineering Systems. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6747-2_24.

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Garibotto, Giovanni, Paolo Castello, and Enrico Ninno. "Dynamic Vision for License Plate Recognition." In Multimedia Video-Based Surveillance Systems. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4327-5_23.

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Vijayaraghavan Sundararaman, T. G. Vijayalakshmi, G. V. Swathi, and Sambit Mohapatra. "Automatic License Plate Recognition System Using Raspberry Pi." In Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2638-3_25.

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Тези доповідей конференцій з теми "License Plate Recognition System"

1

Singh, Er Inderjeet, Parvez Rahi, Vanshika Jain, Nidhi Sharma, Yuvraj Anand, and Ashutosh Kumar Shukla. "Recognition System: Detection of License Plate." In 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). IEEE, 2024. http://dx.doi.org/10.1109/iccpct61902.2024.10673076.

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AR, Vivek, Shriram R. S, Harikrishna Pydi, and Karthikeyan P. "License Plate Recognition and IOT based Parking System." In 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). IEEE, 2024. http://dx.doi.org/10.1109/icetci62771.2024.10704138.

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Revanth, Yellanki, and Kalakunnath Namitha. "License Plate Recognition-Based Automatic Gate Opening System." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625053.

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Rao, Milind Singh, Anita Agrawal, and Ananth Raghav. "Neural Net-Eyes: Advanced License Plate Recognition System." In 2024 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom). IEEE, 2024. https://doi.org/10.1109/mosicom63082.2024.10881497.

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Cai, Guoci, Lihan Tong, Jie Pan, Ming Chen, Zhengxuan Huang, and Yiliang Wu. "Traffic Surveillance License Plate Recognition System in Heavy Rainfall." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653221.

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Ali, Farheen, Himanshu Rathor, and Wasim Akram. "License Plate Recognition System." In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2021. http://dx.doi.org/10.1109/icacite51222.2021.9404706.

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Chuin-Mu Wang and Jian-Hong Liu. "License plate recognition system." In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015. http://dx.doi.org/10.1109/fskd.2015.7382203.

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Khan, Nadeem A. M., Ron J. De la Haye, and Hans A. Hegt. "License plate recognition system." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Andrew G. Tescher. SPIE, 1998. http://dx.doi.org/10.1117/12.323154.

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Hui Wu and Bing Li. "License plate recognition system." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6003138.

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Sanap, P. R., S. P. Narote, R. B. Patel, and B. P. Singh. "License Plate Recognition System-Survey." In INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10). AIP, 2010. http://dx.doi.org/10.1063/1.3526208.

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Звіти організацій з теми "License Plate Recognition System"

1

Thomas, Michael J. Combining Facial Recognition, Automatic License Plate Readers and Closed Circuit Television to Create an Interstate Identification System for Wanted Subjects. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1009302.

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2

Dennis, Frank. The Effect of Color on Character Recognition: A Study of the Oregon License Plate. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6460.

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