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Automatic License Plate detection and Recognition (ALPR) is a quite popular and active research topic in the field of computer vision, image processing and intelligent transport systems. ALPR is used to make detection and recognition…

计算机视觉与模式识别 · 计算机科学 2019-10-07 Zied Selmi , Mohamed Ben Halima , Umapada Pal , M. Adel Alimi

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 paper introduces a novel two-stage framework for accurate Egyptian Vehicle License Plate Recognition (EVLPR). The first stage employs image processing techniques to reliably localize license plates, while the second stage utilizes a…

计算机视觉与模式识别 · 计算机科学 2024-08-07 M. A. Sayedelahl

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

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

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

License plate detection is the first and essential step of the license plate recognition system and is still challenging in real applications, such as on-road scenarios. In particular, small-sized and oblique license plates, mainly caused…

计算机视觉与模式识别 · 计算机科学 2020-10-28 Song-Lu Chen , Shu Tian , Jia-Wei Ma , Qi Liu , Chun Yang , Feng Chen , Xu-Cheng Yin

Most vehicle license plate recognition use neural network techniques to enhance its computing capability. The image of the vehicle license plate is captured and processed to produce a textual output for further processing. This paper…

计算机视觉与模式识别 · 计算机科学 2014-01-23 Nuzulha Khilwani Ibrahim , Emaliana Kasmuri , Norazira A Jalil , Mohd Adili Norasikin , Sazilah Salam , Mohamad Riduwan Md Nawawi

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

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

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

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

Automatic License Plate Recognition (ALPR) is becoming a popular study area and is applied in many fields such as transportation or smart city. However, there are still several limitations when applying many current methods to practical…

计算机视觉与模式识别 · 计算机科学 2023-09-14 Quang Huy Che , Tung Do Thanh , Cuong Truong Van

With the proliferation of video data in smart city applications like intelligent transportation, efficient video analytics has become crucial but also challenging. This paper proposes a semantics-driven cloud-edge collaborative approach for…

计算机视觉与模式识别 · 计算机科学 2023-09-28 Yuche Gao , Beibei Zhang

Automatic License Plate Recognition (ALPR) is a challenging problem to the research community due to its potential applicability in the diverse geographical condition over the globe with varying license plate parameters. Any ALPR system…

计算机视觉与模式识别 · 计算机科学 2019-02-26 Satadal Saha

The reliable detection of speed of moving vehicles is considered key to traffic law enforcement in most countries, and is seen by many as an important tool to reduce the number of traffic accidents and fatalities. Many automatic systems and…

计算机视觉与模式识别 · 计算机科学 2015-01-28 Chaim Ginzburg , Amit Raphael , Daphna Weinshall

Adoption of AI driven techniques in public services remains low due to challenges related to accuracy and speed of information at population scale. Computer vision techniques for traffic monitoring have not gained much popularity despite…

计算机视觉与模式识别 · 计算机科学 2025-04-16 Anmol Singhal Navya Singhal

The objective of this paper is to design an efficient vehicle license plate recognition System and to implement it for automatic parking inventory system. The system detects the vehicle first and then captures the image of the front view of…

计算机视觉与模式识别 · 计算机科学 2014-07-24 Reza Azad , Majid Nazari

In the realm of research, the detection/recognition of text within images/videos captured by cameras constitutes a highly challenging problem for researchers. Despite certain advancements achieving high accuracy, current methods still…

计算机视觉与模式识别 · 计算机科学 2023-09-25 Dat Tran-Anh , Khanh Linh Tran , Hoai-Nam Vu

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