Automatic Vehicle License Plate Recognition System Based on Image Processing and Template Matching Approach

2018 ◽  
Author(s):  
K. Yogheedha ◽  
A.S.A. Nasir ◽  
H. Jaafar ◽  
S.M. Mamduh
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition ◽  
Vehicle License Plate Recognition

Research of Image Processing Technology in Vehicle License Plate Recognition System

2011 ◽  
Vol 63-64 ◽  
pp. 134-137
Author(s):  
Lin Xu ◽  
Qin Zhang ◽  
Yi Fan Yu
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Recognition System ◽  
Processing Technology ◽  
Scale Transformation ◽  
License Plate ◽  
License Plate Recognition ◽  
Image Processing Technology ◽  
Image Contrast Enhancement ◽  
Vehicle License Plate Recognition

Vehicle License plate recognition system includes license plate location, character segmentation, character recognition three important aspects. Image Processing is the VLPRS is one of the three key technologies, this gray-scale transformation of the image, contrast enhancement, image smoothing, edge detection, binarization and other methods were discussed and studied through the Image Processing technology to improve image Quality, strengthen the image area. Experimental results show that this treatment method is simple, real time, dealing with the right rate to achieve a practical standard.

scholarly journals The fast recognition of vehicle license plate based on the improved template matching

2018 ◽  
Vol 176 ◽  
pp. 01029 ◽  
Author(s):  
Zhixin Jiang ◽  
Zhengkui Lin ◽  
Jing Tang ◽  
Hao Li ◽  
You Menglu
Keyword(s):  
Fuzzy Number ◽  
Template Matching ◽  
Real System ◽  
License Plate ◽  
License Plate Recognition ◽  
Slow Speed ◽  
Recognition Time ◽  
Fast Recognition ◽  
Vehicle License Plate Recognition

In order to solve the problem of low accuracy and slow speed in vehicle license plate recognition, a method of number-plate recognition using template matching is proposed. It can effectively recognize low quality and fuzzy number-plate image in real system .The accuracy is 95%, and the recognition time is close to 0.14s.

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

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