Results 11 to 20 of about 279,032 (254)

Edge detection comparison for license plate detection [PDF]

open access: yes2010 11th International Conference on Control Automation Robotics & Vision, 2010
The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique.
Zuwena Musoromy   +2 more
openaire   +1 more source

Helmet and License Plate Detection

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Traffic accidents are one of the leading causes of death today. Motorcycle accidents lead to serious injuries. A helmet is important for every motorcyclist. However, many do not adhere to helmet laws. This is the software CNN uses to find motorcyclists without helmets. The structure consists of motorcycle detection, helmetless classification,
Siddhartha Singh   +5 more
openaire   +2 more sources

License Plate Localization in Complex Environments Based on Improved GrabCut Algorithm

open access: yesIEEE Access, 2022
Aiming at the problem that the existed license plate detection method lacking of accuracy and speed, an improved lightweight detection algorithm for license plate detection in natural scenarios was proposed. First, the traditional GrabCut algorithm needs
Hengliang Shi, Dongnan Zhao
doaj   +1 more source

Plate Number Recognition based on Hybrid Techniques

open access: yesUHD Journal of Science and Technology, 2022
Globally and locally, the number of vehicles is on the rise. It is becoming more and more challenging for authorities to track down specific vehicles. Automatic License Plate Recognition becomes an addition to transportation systems automation. Where the
Hawar Hussein Yaba, Hemin Omer Latif
doaj   +1 more source

Multinational License Plate Recognition Using Generalized Character Sequence Detection

open access: yesIEEE Access, 2020
Automatic license plate recognition (ALPR) is generally considered a solved problem in the computer vision community. However, most of the current works on ALPR are designed to work on license plates (LP) from specific countries and use country-specific ...
Chris Henry   +2 more
doaj   +1 more source

Two-Step Algorithm for License Plate Identification Using Deep Neural Networks

open access: yesApplied Sciences, 2023
License plate identification remains a crucial problem in computer vision, particularly in complex environments where license plates may be confused with road signs, billboards, and other objects.
Mantas Kundrotas   +2 more
doaj   +1 more source

Robust Automatic Recognition of Chinese License Plates in Natural Scenes

open access: yesIEEE Access, 2020
Automatic license plate recognition has a wide range of applications in intelligent transportation systems and is of great significance. However, most of the current work on license plate recognition focuses on the images on the front of license plates ...
Ming-Xiang He, Peng Hao
doaj   +1 more source

A single-target license plate detection with attention

open access: yesInternational Workshop on Advanced Imaging Technology (IWAIT) 2022, 2022
IWAIT2022
Wenyun Li 0001, Chi-Man Pun
openaire   +2 more sources

Research on License Plate Recognition Algorithms Based on Deep Learning in Complex Environment

open access: yesIEEE Access, 2020
License plate recognition systems are widely used in modern smart cities, such as toll payment systems, parking fee payment systems and residential access control.
Wang Weihong, Tu Jiaoyang
doaj   +1 more source

Implementation of number plate detection system for vehicle registration using IOT and recognition using CNN

open access: yesMeasurement: Sensors, 2023
In the intelligent transportation system the automatic license plate recognition and detection plays a very important role. This application could be used for traffic control security e-payment systems in the toll pay and parking.
M.A. Jawale   +3 more
doaj   +1 more source

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