Deep‐learning‐based license plate detection method using vehicle region extraction

2017 ◽  
Vol 53 (15) ◽  
pp. 1034-1036 ◽  
Author(s):  
S.G. Kim ◽  
H.G. Jeon ◽  
H.I. Koo
Keyword(s):  
Deep Learning ◽  
Detection Method ◽  
License Plate ◽  
Region Extraction ◽  
License Plate Detection

scholarly journals A Survey on Various Available Object Detection Models and Application In Automatic License Plate Detection

2021 ◽  
Vol 23 (06) ◽  
pp. 47-57
Author(s):  
Aditya Kulkarni ◽  
◽  
Manali Munot ◽  
Sai Salunkhe ◽  
Shubham Mhaske ◽  
...  
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Image Databases ◽  
License Plate ◽  
Learning Models ◽  
Python Language ◽  
Performance Accuracy ◽  
License Plate Detection ◽  
Bounding Boxes ◽  
Complex Images

With the development in technologies right from serial to parallel computing, GPU, AI, and deep learning models a series of tools to process complex images have been developed. The main focus of this research is to compare various algorithms(pre-trained models) and their contributions to process complex images in terms of performance, accuracy, time, and their limitations. The pre-trained models we are using are CNN, R-CNN, R-FCN, and YOLO. These models are python language-based and use libraries like TensorFlow, OpenCV, and free image databases (Microsoft COCO and PAS-CAL VOC 2007/2012). These not only aim at object detection but also on building bounding boxes around appropriate locations. Thus, by this review, we get a better vision of these models and their performance and a good idea of which models are ideal for various situations.

scholarly journals A Robust Deep Learning Approach for Automatic Iranian Vehicle License Plate Detection and Recognition for Surveillance Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 201317-201330
Author(s):  
Ali Tourani ◽  
Asadollah Shahbahrami ◽  
Sajjad Soroori ◽  
Saeed Khazaee ◽  
Ching Yee Suen
Keyword(s):  
Deep Learning ◽  
License Plate ◽  
Learning Approach ◽  
Surveillance Systems ◽  
License Plate Detection ◽  
Detection And Recognition

A vehicle license plate detection method using region and edge based methods

2013 ◽  
Vol 39 (3) ◽  
pp. 834-845 ◽  
Author(s):  
Mahmood Ashoori Lalimi ◽  
Sedigheh Ghofrani ◽  
Des McLernon
Keyword(s):  
Detection Method ◽  
License Plate ◽  
License Plate Detection ◽  
Edge Based

scholarly journals Bengali License Plate Detection using Viola-Jones Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 4058-4065
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Road Safety ◽  
License Plate ◽  
Learning Techniques ◽  
Wide Range ◽  
Previous Decade ◽  
Parking Management ◽  
License Plate Detection ◽  
Individual Classifier

Image classification has been a rapidly developing field over the previous decade, and the utilization of Convolutional Neural Networks (CNNs) and other deep learning techniques is developing rapidly. However, CNNs are compute-intensive. Another algorithm which was broadly utilized and keeps on being utilized is the Viola-Jones algorithm. Viola-Jones adopts an accumulation strategy. This means Viola-Jones utilizes a wide range of classifiers, each looking at a different part of the image. Every individual classifier is more fragile than the last classifier since it is taking in fewer data. At the point when the outcomes from every classifier are joined, be that as it may, they produce a solid classifier. In this paper, we would like to develop a model that will be able to detect the Bengali license plates of, using the Viola-Jones Algorithm with better precision. It can be utilized for various purposes like roadside help, road safety, parking management, etc

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