Fog-resilient bangla car plate recognition using dark channel prior and yolo
Abstract Despite advancements in Automatic License Plate Detection (ALPD) methods, the
majority of them fail to address the diverse image challenges faced in real-world driving …
majority of them fail to address the diverse image challenges faced in real-world driving …
Misshaped boundary classifier model for license plate detection in haze weather using entropy CNN
F Ye, J Wang, C Liu - Information Sciences, 2025 - Elsevier
Weather that creates haze can cover up car license plates, creating warped lines that make
it difficult to see and identify them. This paper suggests a novel Primitive Boundary Classifier …
it difficult to see and identify them. This paper suggests a novel Primitive Boundary Classifier …
[HTML][HTML] Leveraging Transformer-Based OCR Model with Generative Data Augmentation for Engineering Document Recognition
The long-standing practice of document-based engineering has resulted in the
accumulation of a large number of engineering documents across various industries …
accumulation of a large number of engineering documents across various industries …
Automatic Number Plate Recognition Techniques Performance on Zimbabwean Number Plates
In this modern age, Automatic Number Plate Recognition systems are an important aspect to
improve service efficiency (toll collection, traffic management, parking management) …
improve service efficiency (toll collection, traffic management, parking management) …
A Comparative Analysis of Image Processing and Deep Learning Techniques for License Plate Recognition in Difficult Environments
License plate recognition is one of the challenging tasks and it belongs to ITS, due to
backgrounds, variation of illumination, occlusion the recognition is became the challenging …
backgrounds, variation of illumination, occlusion the recognition is became the challenging …
[PDF][PDF] A Novel Approach to Multi-Layer-Perceptron Training using Quadratic Interpolation Flower Pollination Neural Network on Non-Binary Datasets
Machine Learning (ML) algorithms are widely used in solving classification problems. The
biggest challenge of classification lies in the robustness of the ML algorithm in various …
biggest challenge of classification lies in the robustness of the ML algorithm in various …
Customized CNN-Based Condition Monitoring of Road Traffic for Intelligent Transportation Routing
This study wants to make road traffic monitoring better by using a complete way that includes
many necessary tasks. The study begins by carefully fixing the images to improve the quality …
many necessary tasks. The study begins by carefully fixing the images to improve the quality …
Design of New Traffic System YOLO-LIO: Light-Traffic Intercept and Observation
Vehicle detection is an area of active development aimed at enhancing driving safety and
ensuring compliance with traffic regulations. Despite ongoing efforts, accidents and traffic …
ensuring compliance with traffic regulations. Despite ongoing efforts, accidents and traffic …
ANPRSmaC: An Automatic Number Plate Recognizer for Intelligent Transportation in Smart City
D Patel, A Raj, HK Thakkar - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In recent years, automatic vehicle number plate recognition using stationary cameras are
gaining attention due to its various real-life applications such as automatic toll collection …
gaining attention due to its various real-life applications such as automatic toll collection …
Innovative Image Preprocessing Methods for Enhancing OCR Accuracy in Number Plate Detection
V Nandeshwar, S Savardekar, S Pathare… - 2024 4th …, 2024 - ieeexplore.ieee.org
The accuracy of Optical Character Recognition (OCR) systems in number plate detection is
critically dependent on the quality of image preprocessing techniques. This research …
critically dependent on the quality of image preprocessing techniques. This research …