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Improving Small License Plate Detection with Bidirectional Vehicle-Plate Relation
License plate detection is a critical component of license plate recognition systems. A challenge in this domain is detecting small license plates...
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Parallelization of license plate localization on GPU platform
Automatic license plate recognition which has many applications in intelligent transportation systems has three main steps, License Plate Detection...
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Multi-models Based on Yolov8 for Identification of Vehicle Type and License Plate Recognition
Embedded systems with cameras and deep learning techniques have been shown to be flexible and good at finding different targets in the areas of...
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License plate localization using kernel search multiwavelet decomposition
According to global survey reports, license plate recognition (LPR) provides rich information in approximating the traffic conditions of urban...
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Deep learning adversarial attacks and defenses on license plate recognition system
The breakthroughs in Machine learning and deep neural networks have revolutionized the handling of critical practical challenges, achieving...
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Multi-attribute fusion-based approach for Algerian automatic license plate recognition
Due to the huge rise in the number of vehicles, manual tracking has become a complex task. To deal with this issue, Automatic License Plate...
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A GPU-free license plate detection based on fused color-edge and Retina approach
With the great success of deep learning and IoT techniques, many methods with GPU for License Plate Detection (LPD) have attracted remarkable...
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Enhancement of license plate recognition performance using Xception with Mish activation function
The current breakthroughs in the highway research sector have resulted in a greater awareness and focus on the construction of an effective...
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Robust License Plate Recognition Based on Pre-training Segmentation Model
This work addresses the important task of recognizing license plates in outdoor environments, where many existing methods fail to achieve usable...
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Research on License Plate Recognition Methods Based on YOLOv5s and LPRNet
License plate recognition technology has been applied more and more widely. To meet the speed and accuracy requirements of license plate recognition...
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Fake license plate recognition in surveillance videos
Fake license plate (FLP) recognition aims to identify modified, defaced or forged license plates in traffic videos and images. The recognition...
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Enhancing License Plate Recognition in Videos Through Character-Wise Temporal Combination
License Plate Recognition (LPR) in videos is a critical task in various domains such as parking management, traffic control, and security. This study...
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FasterPlateNet: A Faster Deep Neural Network for License Plate Detection and Recognition
License plate recognition is an important technology for vehicle management. However, the existing methods based on traditional image processing or...
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Robust and Accurate Automatic License Plate Recognition System
Inspired by the recent successes of deep learning on Computer Vision, we propose a deep learning-based system for Automatic License Plate Recognition...
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Research on license plate location and recognition in complex environment
Aiming at the problems of license plate location difficulty and low character recognition accuracy in complex environments, such as a small number of...
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A Real-Time Streaming Application for License Plate Recognition Using OpenALPR
Image recognition has been widely used in many places in our life. For license plate recognition, it can replace the manual inspection and...
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Gaussian Kernels Based Network for Multiple License Plate Number Detection in Day-Night Images
Detecting multiple license plate numbers is crucial for vehicle tracking and re-identification. The reliable detection of multiple license plate...
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Deep Representation Learning for License Plate Recognition in Low Quality Video Images
License plate recognition is an important technology in many application scenarios such as traffic monitoring and vehicle management. Due to...
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Deep learning based framework for Iranian license plate detection and recognition
License plate recognition systems have a very important role in many applications such as toll management, parking control, and traffic management....
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Comparison of outline-based shape descriptors for alphanumeric characters by using piecewise linear functions: the case of vehicle license plates typeface
The selection of a suitable shape representation model is an essential component to consider in order to achieve satisfactory results in shape...
