NDLI: Projection and least square fitting with perpendicular offsets based vehicle license plate tilt correction

Content Provider	IEEE Xplore Digital Library
Author	Deb, K. Vavilin, A. Jung-Won Kim Taeho Kim Kang-Hyun Jo
Copyright Year	2010
Description	Author affiliation: Dept. of EE and Information Systems, University of Ulsan, Ulsan 680-749, South Korea (Deb, K.; Vavilin, A.; Jung-Won Kim; Taeho Kim) \|\| Faculty of EE and Information Systems, University of Ulsan, Ulsan 680-749, South Korea (Kang-Hyun Jo)
Abstract	In the process of vehicle license plate (VLP) automatic recognition, tilt correction is a very essential and inevitable task. 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. Various LP images were used with a variety of conditions to test the proposed method and results are presented to prove its effectiveness.
Starting Page	3291
Ending Page	3298
File Size	463352
Page Count	8
File Format	PDF
ISBN	9781424476428
e-ISBN	9784907764364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Image color analysis Vehicles Licenses Image segmentation Labeling Pixel Fitting recursive labeling algorithm Tilt correction vehicle license plate (VLP) least square fitting with perpendicular offsets (LSFPO) minimum variance
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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