DocumentCode :
527661
Title :
Vehicle license plate slant correction based on mathematical morphology and Radon transformation
Author :
Gong, Li-xia ; Hu, Hong-ping ; Bai, Yan-ping
Author_Institution :
Sch. of Sci., North Univ. of China, Taiyuan, China
Volume :
7
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
3457
Lastpage :
3461
Abstract :
Slant vehicle license plate had the bad effect on its character segmentation and recognition. In this paper, a new method to remedy the effect based on mathematical morphology and Radon transformation was presented. According to the Radon transformation, the corresponding correction methods are presented for three inclined ways. Firstly, the edge of the plate picture is detected by the related operation of mathematical morphology. Then, lossless rotation correction is performed to the tilt plate to the horizontal direction, and bilinear interpolation offset correction is made to the plate that is tilt to the vertical direction. Experimental results show that the method can be implemented easily and offers robustness when dealing with dirty plates and license plates in variant lighting conditions.
Keywords :
Radon transforms; character recognition; edge detection; image segmentation; interpolation; mathematical morphology; road traffic; traffic engineering computing; Radon transformation; bilinear interpolation offset correction; character recognition; character segmentation; edge detection; lossless rotation correction; mathematical morphology; plate picture; vehicle license plate slant correction; Covariance matrix; Image edge detection; Interpolation; Licenses; Morphology; Transforms; Vehicles; Radon transformation; Vehicle license plate recognition; license plate slant correction; mathematical morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583577
Filename :
5583577
Link To Document :
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