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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

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

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

Automatic Number Plate Recognition System (ANPRS) is a mass surveillance embedded system that recognizes the number plate of the vehicle. This system is generally used for traffic management applications. It should be very efficient in…

计算机视觉与模式识别 · 计算机科学 2023-03-28 Zuhaib Akhtar , Rashid Ali

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

Car license plate recognition system is an image processing technology used to identify vehicles by capturing their Car License Plates. The car license plate recognition technology is also known as automatic number-plate recognition,…

计算机视觉与模式识别 · 计算机科学 2026-03-03 Yiquan Gao

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

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

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

The auto-management of vehicle entrance and parking in any organization is a complex challenge encompassing record-keeping, efficiency, and security concerns. Manual methods for tracking vehicles and finding parking spaces are slow and a…

计算机视觉与模式识别 · 计算机科学 2023-12-06 Muhammad Umer Ramzan , Usman Ali , Syed Haider Abbas Naqvi , Zeeshan Aslam , Tehseen , Husnain Ali , Muhammad Faheem

We propose an automatic framework for toll collection, consisting of three steps: vehicle type recognition, license plate localization, and reading. However, each of the three steps becomes non-trivial due to image variations caused by…

图像与视频处理 · 电气工程与系统科学 2022-11-16 Muhammad Usama , Hafeez Anwar , Abbas Anwar , Saeed Anwar

In this work, we tackle the problem of car license plate detection and recognition in natural scene images. We propose a unified deep neural network which can localize license plates and recognize the letters simultaneously in a single…

计算机视觉与模式识别 · 计算机科学 2017-09-27 Hui Li , Peng Wang , Chunhua Shen

This work presents a pattern-aware framework for automatic license plate recognition (ALPR), designed to operate reliably across diverse plate layouts and challenging real-world conditions. The proposed system consists of a modern,…

计算机视觉与模式识别 · 计算机科学 2025-10-14 Elham Shabaninia , Fatemeh Asadi-zeydabadi , Hossein Nezamabadi-pour

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

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

Nowadays in developing or developed countries, the Intelligent Transportation System (ITS) technology has attracted so much attention to itself. License Plate Recognition (LPR) systems have many applications in ITSs, such as the payment of…

计算机视觉与模式识别 · 计算机科学 2014-09-16 Reza Azad , Mohammad Baghdadi

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

Automatic Number Plate Recognition (ALPR) is a system for automatically identifying the license plates of any vehicle. This process is important for tracking, ticketing, and any billing system, among other things. With the use of…

计算机视觉与模式识别 · 计算机科学 2021-09-03 Md Abdullah Al Nasim , Atiqul Islam Chowdhury , Jannatun Naeem Muna , Faisal Muhammad Shah

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

License plate recognition systems have a very important role in many applications such as toll management, parking control, and traffic management. In this paper, a framework of deep convolutional neural networks is proposed for Iranian…

计算机视觉与模式识别 · 计算机科学 2022-01-19 Mojtaba Shahidi Zandi , Roozbeh Rajabi
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