Automatic License Plate Recognition System

Abstract:

This paper proposed an algorithm for license plate recognition system(LPRS). The vertical edge was first detected by sobel color edge detector. Then, the invalid edge was removed regarding edge density. Next, the license plate(LP) image was converted into HSV color model, and by edge density template and fuzzy color information judgement, the LP region was located. Then, color-reversing judgement and tilt correction was conducted. Afterward, characters were segmented by means of vertical projection and convolution, by which character width and position can be exactly confirmed, and character recognition was conducted based on radial basis function (RBF) neural network. With a lot of samples verified in night hours and daytime under real conditions, the experimental results show that the proposed method can achieve accuracy and effectiveness in LPRS.

• Periodical: Applied Mechanics and Materials (Volumes 20-23)
• Pages: 438-444
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.20-23.438
• Online since: January 2010
• Authors: Bo Li, Zhi Yuan Zeng, Hua Li Dong, Xiao Ming Zeng
• Keywords: Character Recognition, Character Segmentation, Image Processing, License Plate Location, License Plate Recognition

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