Vehicle License Plate Localization and License Number Recognition Using Unit-Linking Pulse Coupled Neural Network

2012 ◽  
pp. 100-108 ◽  
Author(s):  
Ya Zhao ◽  
Xiaodong Gu
Keyword(s):  
Neural Network ◽  
License Plate ◽  
Pulse Coupled Neural Network ◽  
Number Recognition

BP-Neural Network for Plate Number Recognition

2016 ◽  
Vol 8 (3) ◽  
pp. 34-45 ◽  
Author(s):  
Jia Wang ◽  
Wei Qi Yan
Keyword(s):  
Neural Network ◽  
Character Recognition ◽  
Back Propagation ◽  
License Plate ◽  
License Plate Recognition ◽  
Traffic Surveillance ◽  
Plate Number ◽  
Number Recognition ◽  
Traffic Systems ◽  
Artificial Neural Network Ann

The License Plate Recognition (LPR) as one crucial part of intelligent traffic systems has been broadly investigated since the boosting of computer vision techniques. The motivation of this paper is to probe in plate number recognition which is an important part of traffic surveillance events. In this paper, locating the number plate is based on edge detection and recognizing the plate numbers is worked on Back-Propagation (BP) Artificial Neural Network (ANN). Furthermore, the authors introduce the system implementation and take advantage of the well-known Matlab platform to delve how to accurately recognize plate numbers. There are 80 samples adopted to test and verify the proposed plate number recognition method. The experimental results demonstrate that the accuracy of the authors' character recognition is above 70%.

BP-Neural Network for Plate Number Recognition

2020 ◽  
pp. 1189-1199
Author(s):  
Jia Wang ◽  
Wei Qi Yan
Keyword(s):  
Neural Network ◽  
Character Recognition ◽  
Back Propagation ◽  
License Plate ◽  
Traffic Surveillance ◽  
Bp Artificial Neural Network ◽  
Plate Number ◽  
Number Recognition ◽  
Traffic Systems ◽  
Artificial Neural Network Ann

The License Plate Recognition (LPR) as one crucial part of intelligent traffic systems has been broadly investigated since the boosting of computer vision techniques. The motivation of this paper is to probe in plate number recognition which is an important part of traffic surveillance events. In this paper, locating the number plate is based on edge detection and recognizing the plate numbers is worked on Back-Propagation (BP) Artificial Neural Network (ANN). Furthermore, the authors introduce the system implementation and take advantage of the well-known Matlab platform to delve how to accurately recognize plate numbers. There are 80 samples adopted to test and verify the proposed plate number recognition method. The experimental results demonstrate that the accuracy of the authors' character recognition is above 70%.

Automatic Car Number Plate Recognition System for Authorization

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 30-34
Author(s):  
Somalin Sandha ◽  
Debaraj Rana
Keyword(s):  
Neural Network ◽  
Recognition System ◽  
Performance Level ◽  
License Plate ◽  
License Plate Recognition ◽  
Human Power ◽  
Automatic License Plate Recognition

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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