A Vehicle License Plate Recognition Method Based on Neural Network

2010 ◽  
Author(s):  
Xing-Wang Zhang ◽  
Xian-gui Liu ◽  
Jia Zhao
Keyword(s):  
Neural Network ◽  
License Plate ◽  
License Plate Recognition ◽  
Recognition Method ◽  
Vehicle License Plate Recognition

Application of Image Processing to the Vehicle License Plate Recognition

2013 ◽  
Vol 760-762 ◽  
pp. 1638-1641 ◽  
Author(s):  
Chun Yu Chen ◽  
Bao Zhi Cheng ◽  
Xin Chen ◽  
Fu Cheng Wang ◽  
Chen Zhang
Keyword(s):  
Traffic Engineering ◽  
Character Recognition ◽  
Character Segmentation ◽  
License Plate ◽  
License Plate Recognition ◽  
Edge Extraction ◽  
Recognition Method ◽  
License Plate Location ◽  
Vehicle License Plate Recognition ◽  
Plate Location

At present, the traffic engineering and automation have developed, and the vehicle license plate recognition technology need get a corresponding improvement also. In case of identifying a car license picture, the principle of automatic license plate recognition is illustrated in this paper, and the processing is described in detail which includes the pre-processing, the edge extraction, the license plate location, the character segmentation, the character recognition. The program implementing recognition is edited by Matlab. The example result shows that the recognition method is feasible, and it can be put into practice.

A Recognition Method of License Plate Number Based on BP Neural Network

2014 ◽  
Vol 596 ◽  
pp. 422-426
Author(s):  
Bing Xiang Liu ◽  
Yan Hua Huang ◽  
Xu Dong Wu ◽  
Ying Xi Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Simulation Experiment ◽  
Processing Technique ◽  
Automatic Recognition ◽  
License Plate ◽  
License Plate Recognition ◽  
Recognition Method ◽  
Previous Period ◽  
Neural Network Algorithm

According to the current technological deficiency of license plate recognition, this paper uses digital graphic processing technique and BP Neural Network algorithm fusion to achieve automatic recognition of license plate. Input the image settled in the previous period in the trained BP neural network to obtain the final license plate character through simulation. The validity and feasibility of the algorithm can be verified through the simulation experiment of standard license plate image.

Sign in / Sign up

Export Citation Format

Share Document