Vehicle license plate tilt correction based on the straight line fitting method and minimizing variance of coordinates of projection points |
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Authors: | Kaushik Deb Andrey Vavilin Jung-Won Kim Kang-Hyun Jo |
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Affiliation: | 1.Graduate School of Electrical Engineering & Information Systems,University of Ulsan,Namgu, Ulsan,Korea |
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Abstract: | Tilt correction is a very crucial and inevitable task in the automatic recognition of the vehicle license plate (VLP). In
this paper, according to the least square fitting with perpendicular offsets (LSFPO), the VLP region is fitted to a straight
line. After the line slope is obtained, rotation angle of the VLP is estimated. Then the whole image is rotated for tilt correction
in horizontal direction by this angle. Tilt correction in vertical direction by minimizing the variance of coordinates of
the projection points is proposed. Character segmentation is performed after horizontal correction and character points are
projected along the vertical direction after shear transform. Despite the success of VLP detection approaches in the past
decades, a few of them can effectively locate license plate (LP), even when vehicle bodies and LPs have similar color. A common
drawback of color-based VLP detection is the failure to detect the boundaries or border of LPs. In this paper, we propose
a modified recursive labeling algorithm for solving this problem and detecting candidate regions. According to different colored
LP, these candidate regions may include LP regions. Geometrical properties of the LP such as area, bounding box and aspect-ratio
are then used for classification. Various LP images were used with a variety of conditions to test the proposed method and
results are presented to prove its effectiveness. |
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