Paper Title:
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.

  Info
Periodical
Edited by
Qi Luo
Pages
438-444
DOI
10.4028/www.scientific.net/AMM.20-23.438
Citation
B. Li, Z. Y. Zeng, H. L. Dong, X. M. Zeng, "Automatic License Plate Recognition System", Applied Mechanics and Materials, Vols. 20-23, pp. 438-444, 2010
Online since
January 2010
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$32.00
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