Research and Practice of License Plate Recognition in Regional Vehicle Circulation Management System

Author(s):  
Chufan Tan ◽  
Fangqin Xu
Author(s):  
Jun Ryeol Park ◽  
Nasir Rahim ◽  
Seung Ju Lee ◽  
Amin Ullah ◽  
Mi Young Lee ◽  
...  

2014 ◽  
Vol 9 (6) ◽  
Author(s):  
Qing Tian ◽  
Teng Guo ◽  
Shuai Qiao ◽  
Yun Wei ◽  
Wei-wei Fei

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 30-34
Author(s):  
Somalin Sandha ◽  
Debaraj Rana

In present day scenario the security and authentication is very much needed to make a safety world. Beside all security one vital issue is recognition of number plate from the car for Authorization. In the busy world everything cannot be monitor by a human, so automatic license plate recognition is one of the best application for authorization without involvement of human power. In the proposed method we have make the problem into three fold, firstly extraction of number plate region, secondly segmentation of character and finally Authorization through recognition and classification. For number plate extraction and segmentation we have used morphological based approaches where as for classification we have used Neural Network as classifier. The proposed method is working well in varieties of scenario and the performance level is quiet good.


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