scholarly journals SMART LICENSE PLATE RECOGNITION SYSTEM BASED ON IMAGE PROCESSING USING NEURAL NETWORK

2014 ◽  
pp. 40-46
Author(s):  
V. Koval ◽  
V. Turchenko ◽  
V. Kochan ◽  
A. Sachenko ◽  
G. Markowsky
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Image Processing ◽  
Recognition System ◽  
Automated System ◽  
License Plate ◽  
License Plate Recognition ◽  
Screening System ◽  
Automated Recognition ◽  
Smart Vehicle

This paper describes the Smart Vehicle Screening System, which can be installed into a tollbooth for automated recognition of vehicle license plate information using a photograph of a vehicle. An automated system could then be implemented to control the payment of fees, parking areas, highways, bridges or tunnels, etc. There are considered an approach to identify vehicle through recognizing of it license plate using image fusion, neural networks and threshold techniques as well as some experimental results to recognize the license plate successfully.

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.

The Application of Image Processing Technology in the Intelligent Transportation System

2014 ◽  
Vol 543-547 ◽  
pp. 2678-2680 ◽  
Author(s):  
Xiu Hua Teng
Keyword(s):  
Image Processing ◽  
Intelligent Transportation System ◽  
Mean Shift ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition ◽  
Vehicle Recognition ◽  
Research Fields ◽  
Plate Location ◽  
Model Recognition

Image processing-based vehicle recognition is one of the important research fields in ITS. The existing methods are all based on license plate recognition and car shape recognition. Their common problem is algorithm stability. And the license plates are easy to be changed. All information about vehicles should be used to recognize them reliably. A problem to be solved is to find a method to recognize vehicles besides license plate recognition and vehicle model recognition. Vehicle license plate location and character segmentation are critical steps in the license plate recognition system, and yet there are difficult problems to be solved. Kernel density estimation and Mean Shift theory

Convolution Neural Network Based Automatic License Plate Recognition System

2019 ◽  
Vol 7 (4) ◽  
pp. 199-205
Author(s):  
Aman Raj ◽  
Devanshu Dubey ◽  
Abhishek Mishra ◽  
Nikhil Chopda ◽  
Nishant M. Borkar ◽  
...  
Keyword(s):  
Neural Network ◽  
Recognition System ◽  
Convolution Neural Network ◽  
License Plate ◽  
License Plate Recognition ◽  
Automatic License Plate Recognition
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