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Automatic License Plate Recognition (ALPR) has been the focus of many researches in the past years. In general, ALPR is divided into the following problems: detection of on-track vehicles, license plates detection, segmention of license…

计算机视觉与模式识别 · 计算机科学 2016-11-01 Gabriel Resende Gonçalves , Sirlene Pio Gomes da Silva , David Menotti , William Robson Schwartz

Developing a highly accurate automatic license plate recognition system (ALPR) is challenging due to environmental factors such as lighting, rain, and dust. Additional difficulties include high vehicle speeds, varying camera angles, and…

计算机视觉与模式识别 · 计算机科学 2025-10-30 Zahra Ebrahimi Vargoorani , Amir Mohammad Ghoreyshi , Ching Yee Suen

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

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

Vehicle theft is arguably one of the fastest-growing types of crime in India. In some of the urban areas, vehicle theft cases are believed to be around 100 each day. Identification of stolen vehicles in such precarious scenarios is not…

计算机视觉与模式识别 · 计算机科学 2020-07-20 K. V. Kadambari , Vishnu Vardhan Nimmalapudi

It is believed that there are currently millions of vehicles on the roads worldwide. The over speed of vehicles,theft of vehicles, disobeying traffic rules in public, an unauthorized person entering the restricted area are keep on…

计算机视觉与模式识别 · 计算机科学 2014-02-25 V. Karthikeyan , V. J. Vijayalakshmi

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

This work details Sighthounds fully automated license plate detection and recognition system. The core technology of the system is built using a sequence of deep Convolutional Neural Networks (CNNs) interlaced with accurate and efficient…

计算机视觉与模式识别 · 计算机科学 2017-03-30 Syed Zain Masood , Guang Shu , Afshin Dehghan , Enrique G. Ortiz

The development of the Automatic License Plate Recognition (ALPR) system has received much attention for the English license plate. However, despite being the sixth largest population around the world, no significant progress can be tracked…

计算机视觉与模式识别 · 计算机科学 2022-02-25 Md. Saif Hassan Onim , Hussain Nyeem , Koushik Roy , Mahmudul Hasan , Abtahi Ishmam , Md. Akiful Hoque Akif , Tareque Bashar Ovi

Extracting vehicle information from surveillance images is essential for intelligent transportation systems, enabling applications such as traffic monitoring and criminal investigations. While Automatic License Plate Recognition (ALPR) is…

计算机视觉与模式识别 · 计算机科学 2026-04-29 Gabriel E. Lima , Valfride Nascimento , Eduardo Santos , Eduil Nascimento , Rayson Laroca , David Menotti

Although most current license plate (LP) recognition applications have been significantly advanced, they are still limited to ideal environments where training data are carefully annotated with constrained scenes. In this paper, we propose…

计算机视觉与模式识别 · 计算机科学 2019-10-11 Younkwan Lee , Jiwon Jun , Yoojin Hong , Moongu Jeon

The growing use of Artificial Intelligence solutions has led to an explosion in image capture and its application in machine learning models. However, the lack of standardization in image quality generates inconsistencies in the results of…

计算机视觉与模式识别 · 计算机科学 2024-10-18 Renato Augusto Tavares

Modern Automatic License Plate Recognition (ALPR) systems achieve outstanding performance in controlled, well-defined scenarios. However, large-scale real-world usage remains challenging due to low-quality imaging devices, compression…

计算机视觉与模式识别 · 计算机科学 2026-04-13 Lucas Wojcik , Eduardo A. F. Machoski , Eduil Nascimento , Rayson Laroca , David Menotti

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) systems have shown remarkable performance on license plates (LPs) from multiple regions due to advances in deep learning and the increasing availability of datasets. The evaluation of deep ALPR…

计算机视觉与模式识别 · 计算机科学 2022-12-22 Rayson Laroca , Everton V. Cardoso , Diego R. Lucio , Valter Estevam , David Menotti

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

Recent advancements in super-resolution for License Plate Recognition (LPR) have sought to address challenges posed by low-resolution (LR) and degraded images in surveillance, traffic monitoring, and forensic applications. However, existing…

计算机视觉与模式识别 · 计算机科学 2025-07-09 Valfride Nascimento , Gabriel E. Lima , Rafael O. Ribeiro , William Robson Schwartz , Rayson Laroca , David Menotti

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

Automated car license plate recognition systems are developed and applied for purpose of facilitating the surveillance, law enforcement, access control and intelligent transportation monitoring with least human intervention. In this paper,…

计算机视觉与模式识别 · 计算机科学 2015-04-28 Hooi Sin Ng , Yong Haur Tay , Kim Meng Liang , Hamam Mokayed , Hock Woon Hon

Reading dirty license plates accurately in moving vehicles is challenging for automatic license plate recognition systems. Moreover, license plates are often intentionally tampered with a malicious intent to avoid police apprehension.…

计算机视觉与模式识别 · 计算机科学 2023-11-23 Bishal Shrestha , Griwan Khakurel , Kritika Simkhada , Badri Adhikari