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License Plate recognition plays an important role on the traffic monitoring and parking management systems. In this paper, a fast and real time method has been proposed which has an appropriate application to find tilt and poor quality…

计算机视觉与模式识别 · 计算机科学 2014-07-25 Reza Azad , Hamid Reza Shayegh

Vehicles play a vital role in modern day transportation systems. Number plate provides a standard means of identification for any vehicle. To serve this purpose, automatic licence plate recognition system was developed. This consisted of…

神经与进化计算 · 计算机科学 2017-10-31 Tejas K , Ashok Reddy K , Pradeep Reddy D , Rajesh Kumar M

License Plate Recognition plays an important role on the traffic monitoring and parking management. Administration and restriction of those transportation tools for their better service becomes very essential. In this paper, a fast and real…

计算机视觉与模式识别 · 计算机科学 2014-07-25 Reza Azad , Babak Azad , Hamid Reza Shayegh

License plate detection and recognition (LPDR) is of growing importance for enabling intelligent transportation and ensuring the security and safety of the cities. However, LPDR faces a big challenge in a practical environment. The license…

计算机视觉与模式识别 · 计算机科学 2022-11-03 Xuewen Yang , Xin Wang

In this paper, we propose an automatic and mechanized license and number plate recognition (LNPR) system which can extract the license plate number of the vehicles passing through a given location using image processing algorithms. No…

计算机视觉与模式识别 · 计算机科学 2016-10-17 Hamed Saghaei

License plate recognition is the key component to many automatic traffic control systems. It enables the automatic identification of vehicles in many applications. Such systems must be able to identify vehicles from images taken in various…

计算机视觉与模式识别 · 计算机科学 2019-02-15 Andrej Jokic , Nikola Vukovic

Edge detection as a pre-processing stage is a fundamental and important aspect of the number plate extraction system. This is due to the fact that the identification of a particular vehicle is achievable using the number plate because each…

计算机视觉与模式识别 · 计算机科学 2024-02-29 Bashir Olaniyi Sadiq

This paper presents a new approach for the automatic license plate recognition, which includes the SIFT algorithm in step to locate the plate in the input image. In this new approach, besides the comparison of the features obtained with the…

计算机视觉与模式识别 · 计算机科学 2013-03-08 Francisco Assis da Silva , Almir Olivette Artero , Maria Stela Veludo de Paiva , Ricardo Luis Barbosa

The Intelligent Transportation Systems (ITS) are the subject of a world economic competition. They are the application of new information and communication technologies in the transport sector, to make the infrastructures more efficient,…

计算机视觉与模式识别 · 计算机科学 2021-05-12 Mustapha Saidallah , Fatimazahra Taki , Abdelbaki El Belrhiti El Alaoui , Abdeslam El Fergougui

Automatic license plate recognition plays a crucial role in modern transportation systems such as for traffic monitoring and vehicle violation detection. In real-world scenarios, license plate recognition still faces many challenges and is…

计算机视觉与模式识别 · 计算机科学 2022-02-22 Song-Ren Wang , Hong-Yang Shih , Zheng-Yi Shen , Wen-Kai Tai

Vehicle tracking is an integral part of intelligent traffic management systems. Previous implementations of vehicle tracking used Global Positioning System(GPS) based systems that gave location of the vehicle of an individual on their…

计算机视觉与模式识别 · 计算机科学 2020-05-19 Lalit Lakshmanan , Yash Vora , Raj Ghate

Smart automated traffic enforcement solutions have been gaining popularity in recent years. These solutions are ubiquitously used for seat-belt violation detection, red-light violation detection and speed violation detection purposes.…

计算机视觉与模式识别 · 计算机科学 2019-12-06 Alperen Elihos , Burak Balci , Bensu Alkan , Yusuf Artan

Video-based Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate text information from video captures. Traditional systems typically rely heavily on high-end computing resources and utilize multiple frames to…

计算机视觉与模式识别 · 计算机科学 2025-01-10 Victor Nascimento Ribeiro , Nina S. T. Hirata

Automatic License Plate Recognition (ALPR) is a challenging area of research due to its importance to variety of commercial applications. The overall problem may be subdivided into two key modules, firstly, localization of license plates…

计算机视觉与模式识别 · 计算机科学 2015-01-26 Satadal Saha , Subhadip Basu , Mita Nasipuri , Dipak Kumar Basu

License Plate Recognition Systems are used to determine the license plate number of a vehicle. The current system mainly uses Optical Character Recognition to recognize the number plate. There are several problems to this system. Some of…

计算机视觉与模式识别 · 计算机科学 2015-06-11 Jani Biju Babjan

License plate detection (LPD) is essential for traffic management, vehicle tracking, and law enforcement but faces challenges like variable lighting and diverse font types, impacting accuracy. Traditionally reliant on image processing and…

计算机视觉与模式识别 · 计算机科学 2024-12-18 Zahra Ebrahimi Vargoorani , Ching Yee Suen

Benefiting from the rapid development of convolutional neural networks, the performance of car license plate detection and recognition has been largely improved. Nonetheless, most existing methods solve detection and recognition problems…

计算机视觉与模式识别 · 计算机科学 2022-07-12 Shuxin Qin , Sijiang Liu

Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate information from image or a video capture. These systems have gained popularity due to the wide availability of low-cost surveillance cameras and advances…

计算机视觉与模式识别 · 计算机科学 2025-01-09 Victor Nascimento Ribeiro , Nina S. T. Hirata

This paper presents an efficient and layout-independent Automatic License Plate Recognition (ALPR) system based on the state-of-the-art YOLO object detector that contains a unified approach for license plate (LP) detection and layout…

计算机视觉与模式识别 · 计算机科学 2021-03-10 Rayson Laroca , Luiz A. Zanlorensi , Gabriel R. Gonçalves , Eduardo Todt , William Robson Schwartz , David Menotti

This paper proposes LPRNet - end-to-end method for Automatic License Plate Recognition without preliminary character segmentation. Our approach is inspired by recent breakthroughs in Deep Neural Networks, and works in real-time with…

计算机视觉与模式识别 · 计算机科学 2018-06-28 Sergey Zherzdev , Alexey Gruzdev
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