Deep corner prediction to rectify tilted license plate images
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DOI: 10.1007/s00530-020-00655-8
Abstract: Skewness and obliqueness of vehicle plate images influence license plate recognition. The more tilted plate images are, the harder the recognition task is. To this end, if plate images are preprocessed to be aligned and… read more here.
Keywords: corner prediction; license plate; plate; plate images ... See more keywords
A hierarchical algorithm for vehicle license plate localization
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DOI: 10.1007/s11042-017-4429-z
Abstract: Traffic car images suffer immensely from various degrading factors that make it hard to localize license plates. Each license plate localization (LPL) method has its own advantages and disadvantages to extract plates in the images… read more here.
Keywords: license; plate localization; license plate; method ... See more keywords
Estimating the impact of the license plate quota policy for ICEVs on new energy vehicle adoption by using synthetic control method
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DOI: 10.1016/j.enpol.2020.112022
Abstract: Abstract Since 1994, to overcome adoption barriers and promote new energy vehicles (NEVs), eight cities and one province in China have implemented a license plate quota policy for internal combustion engine vehicles (ICEVs). We use… read more here.
Keywords: plate quota; policy; license plate; quota policy ... See more keywords
Real-time Jordanian license plate recognition using deep learning
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DOI: 10.1016/j.jksuci.2020.09.018
Abstract: Abstract Countries have different specifications for License Plates (LPs), therefore developing one Automatic license plate recognition (ALPR) system that works well for all LPs types is a difficult task. This paper aims to develop an… read more here.
Keywords: plate recognition; proposed approach; license plate; recognition ... See more keywords
Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China
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DOI: 10.1016/j.tra.2018.09.001
Abstract: Abstract To mitigate externalities of the urban transportation system, various travel demand management policies have been tested across the world in the past decades. Among them, vehicle restriction is considered the most straightforward way to… read more here.
Keywords: vehicle restriction; travel; license plate; vehicle ... See more keywords
Deep learning‐based embedded license plate localisation system
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DOI: 10.1049/iet-its.2019.0082
Abstract: In this study the authors propose novel neural network architecture for license plate localisation (LPL) based on an inverted residual structure where the shortcut connections are between the linear bottleneck layers. This residual structure is… read more here.
Keywords: license plate; localisation; plate localisation; deep learning ... See more keywords
$L_p$ -Norm-Based Sparse Regularization Model for License Plate Deblurring
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DOI: 10.1109/access.2020.2969675
Abstract: We propose an $L_{p}$ -norm-based sparse regularization model for license plate deblurring, which is motivated by distinctive properties of license plate images. For the blurred images, general deblurring methods may restore a good overall visual… read more here.
Keywords: license plate; model; norm based; regularization model ... See more keywords
Research on License Plate Recognition Algorithms Based on Deep Learning in Complex Environment
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DOI: 10.1109/access.2020.2994287
Abstract: License plate recognition systems are widely used in modern smart cities, such as toll payment systems, parking fee payment systems and residential access control. Such electronic systems are not only convenient for people’s daily life,… read more here.
Keywords: license plate; plate recognition; deep learning; plate ... See more keywords
A Robust License Plate Recognition Model Based on Bi-LSTM
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DOI: 10.1109/access.2020.3040238
Abstract: License plate detection and recognition are still important and challenging tasks in natural scenes. At present, most methods have favorable effect on license plate recognition under restrictive conditions, and most of such license plates are… read more here.
Keywords: license plate; ccpd; plate recognition; plate ... See more keywords
License Plate Detection Using Convolutional Neural Network–Back to the Basic With Design of Experiments
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DOI: 10.1109/access.2022.3153340
Abstract: Automatic License Plate Recognition (ALPR) is one of the applications that hugely benefited from Convolutional Neural Network (CNN) processing which has become the mainstream processing method for complex data. Many ALPR research proposed new CNN… read more here.
Keywords: neural network; plate detection; plate; convolutional neural ... See more keywords
License Plate Image Analysis Empowered by Generative Adversarial Neural Networks (GANs)
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DOI: 10.1109/access.2022.3157714
Abstract: Although the majority of existing License Plate (LP) recognition techniques have significant improvements in accuracy, they are still limited to ideal situations in which training data is correctly annotated with restricted scenarios. Moreover, images or… read more here.
Keywords: recognition; resolution images; license plate; generative adversarial ... See more keywords