Reformative Vehicle License Plate Recognition Algorithm Based on Deep Learning

2019 ◽  
pp. 243-255
Author(s):  
Xinggan Peng ◽  
Long Wen ◽  
Diqiu Bai ◽  
Bei Peng
Keyword(s):  
Deep Learning ◽  
Recognition Algorithm ◽  
License Plate ◽  
License Plate Recognition ◽  
Vehicle License Plate Recognition

Vehicle License Plate Recognition Based on Wavelet Transform and Vertical Edge Matching

2019 ◽  
Vol 34 (06) ◽  
pp. 2050016
Author(s):  
Zhongli Wang ◽  
Xiping Ma ◽  
Wenlin Huang
Keyword(s):  
Wavelet Transform ◽  
Road Traffic ◽  
Recognition Rate ◽  
Recognition Algorithm ◽  
License Plate ◽  
License Plate Recognition ◽  
Vertical Edge ◽  
Vertical Projection ◽  
Edge Matching ◽  
Vehicle License Plate Recognition

With the improvement of our country’s economic level and quality of life, the numbers and scales of highway networks and motor vehicles are constantly expanding, which makes the current road traffic burden more and more serious. As an important means of traffic automation management, license plate recognition (LPR) technology plays an important role in traffic surveillance and control. However, the recognition rate and accuracy of the traditional license plate recognition methods still need to be improved. In the case of poor surrounding environment, it is prone to localization failure, vehicle license plate recognition errors or unrecognizable phenomena. Wavelet transform, as another landmark signal processing method after Fourier transform, has been widely used in the field of image processing. In China, the number of horizontal lines is usually larger than that of vertical lines. If the two vertical boundaries of the license plate can be detected successfully, the four angles of the license plate can be determined efficiently to complete the license plate positioning. In view of the advantages of wavelet transform technology and the characteristics of vehicle license plate, in this paper, a vehicle license plate recognition algorithm based on wavelet transform and vertical edge matching is proposed. The edge of the license plate is detected by wavelet transform technology, and then the license plate is located by vertical edge matching technology. After the location is realized, the characters are segmented by vertical projection method and the characters are recognized by improved BP neural network algorithm. The experimental results show that the proposed vehicle license plate recognition algorithm based on wavelet transform and vertical edge matching performs well in algorithm performance, which provides a good reference for the development of vehicle license plate recognition system.

scholarly journals Vehicle license plate recognition using visual attention model and deep learning

2015 ◽  
Vol 24 (3) ◽  
pp. 033001 ◽  
Author(s):  
Di Zang ◽  
Zhenliang Chai ◽  
Junqi Zhang ◽  
Dongdong Zhang ◽  
Jiujun Cheng
Keyword(s):  
Deep Learning ◽  
Visual Attention ◽  
License Plate ◽  
License Plate Recognition ◽  
Visual Attention Model ◽  
Attention Model ◽  
Vehicle License Plate Recognition
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