Synthetic image generation for training deep learning-based automated license plate recognition systems on the Brazilian Mercosur standard

2020 ◽  
Author(s):  
Gilles Silvano ◽  
Vinícius Ribeiro ◽  
Vitor Greati ◽  
Aguinaldo Bezerra ◽  
Ivanovitch Silva ◽  
...  
Keyword(s):  
Deep Learning ◽  
Synthetic Image ◽  
License Plate ◽  
Image Generation ◽  
License Plate Recognition ◽  
Synthetic Image Generation ◽  
Recognition Systems

scholarly journals License Plate recognition in fog weather based on deep learning

2021 ◽  
Vol 1738 ◽  
pp. 012104
Author(s):  
Huaihong Wu ◽  
Bing Zhou ◽  
Wei Wei
Keyword(s):  
Deep Learning ◽  
License Plate ◽  
License Plate Recognition

scholarly journals Deep Learning Based Ethiopian Car’s License Plate Detection and Recognition

2020 ◽  
Vol 8 (6) ◽  
pp. 5730-5737
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
Learning Model ◽  
Motor Vehicles ◽  
License Plate ◽  
License Plate Recognition ◽  
Computer Algorithms ◽  
Wide Range ◽  
Processing Techniques ◽  
Deep Learning Model

Digital Image Processing is application of computer algorithms to process, manipulate and interpret images. As a field it is playing an increasingly important role in many aspects of people’s daily life. Even though Image Processing has accomplished a great deal on its own, nowadays researches are being conducted in using it with Deep Learning (which is part of a broader family, Machine Learning) to achieve better performance in detecting and classifying objects in an image. Car’s License Plate Recognition is one of the hottest research topics in the domain of Image Processing (Computer Vision). It is having wide range of applications since license number is the primary and mandatory identifier of motor vehicles. When it comes to license plates in Ethiopia, they have unique features like Amharic characters, differing dimensions and plate formats. Although there is a research conducted on ELPR, it was attempted using the conventional image processing techniques but never with deep learning. In this proposed research an attempt is going to be made in tackling the problem of ELPR with deep learning and image processing. Tensorflow is going to be used in building the deep learning model and all the image processing is going to be done with OpenCV-Python. So, at the end of this research a deep learning model that recognizes Ethiopian license plates with better accuracy is going to be built.

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