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
Author(s):  
Vinicius Ribeiro ◽  
Vitor Greati ◽  
Aguinaldo Bezerra ◽  
Gilles Silvano ◽  
Ivanovitch Silva ◽  
...  

Author(s):  
Saeed Khazaee ◽  
Ali Tourani ◽  
Sajjad Soroori ◽  
Asadollah Shahbahrami ◽  
Ching Y. Suen

2021 ◽  
pp. 85-96
Author(s):  
Pankaj Raj Dawadi ◽  
Manish Pokharel ◽  
Bal Krishna Bal

2020 ◽  
Vol 149 ◽  
pp. 113280 ◽  
Author(s):  
Naaman Omar ◽  
Abdulkadir Sengur ◽  
Salim Ganim Saeed Al-Ali

Author(s):  
Pedro Ferreira Alves Pinto ◽  
Antonio José G. Busson ◽  
João P. Forny de Melo ◽  
Sérgio Colcher ◽  
Ruy Luiz Milidiú

Vehicle’s license plate detection and recognition is a task with several practical applications. It can be applied, for example, in the security segment, identifying stolen cars and controlling cars entry/exit in private areas. This work presents a Deep Learning based tool that uses the cascaded YOLOv3 to simultaneously detect and recognize vehicle plate. In experiments performed, our tool got a recall of 95% in plate detection and 96.2% accuracy in the recognition of the 7 characters of the license plate.


Author(s):  
Yongjie Zou ◽  
Yongjun Zhang ◽  
Jun Yan ◽  
Xiaoxu Jiang ◽  
Tengjie Huang ◽  
...  

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