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相关论文: Efficient Licence Plate Detection By Unique Edge D…

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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

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

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

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 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

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

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

This paper aims to improve the Warping Planer Object Detection Network (WPOD-Net) using feature engineering to increase accuracy. What problems are solved using the Warping Object Detection Network using feature engineering? More…

计算机视觉与模式识别 · 计算机科学 2022-12-15 Nguyen Dinh Tra , Nguyen Cong Tri , Phan Duy Hung

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

Automatic License Plate Recognition (ALPR) is an integral component of an intelligent transport system with extensive applications in secure transportation, vehicle-to-vehicle communication, stolen vehicles detection, traffic violations,…

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

With the increasing need to strengthen vehicle safety and detection, the availability of pre-existing methods of catching criminals and identifying vehicles manually through the various traffic surveillance cameras is not only…

计算机视觉与模式识别 · 计算机科学 2023-05-01 Vrinda Agarwal , Aaron George Pichappa , Manideep Ramisetty , Bala Murugan MS , Manoj kumar Rajagopal

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

Identity of a vehicle is done through the vehicle license plate by traffic police in general. Au- tomatic vehicle license plate recognition has several applications in intelligent traffic management systems. The security situation across…

计算机视觉与模式识别 · 计算机科学 2015-04-08 Lajish V. L. , Sunil Kumar Kopparapu

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

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

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

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

With the development of deep learning, Neural Network is commonly adopted to the License Plate Detection (LPD) task and achieves much better performance and precision, especially CNN-based networks can achieve state of the art RetinaNet[1].…

计算机视觉与模式识别 · 计算机科学 2021-12-23 Wenyun Li , Chi-Man Pun
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