DocumentCode :
2807175
Title :
A Morphological License Plate Locating Method in Complex Background
Author :
Sun, Yang
Author_Institution :
Software Coll., Shenyang Normal Univ., Shenyang, China
fYear :
2011
fDate :
21-23 Nov. 2011
Firstpage :
216
Lastpage :
219
Abstract :
In this paper, a morphological vehicle license plate locating method in complex background was provided. First, a pre-segmentation is implemented to reduce the locating interference. In order to suppress noise and enhance the edge information, mathematical morphological multi-scale edge detection is adopted, and different scale structuring elements are constructed. After that, use a series of morphological operations to binarized image, the plate image is divided into separate connected regions, Connected Component Labeling is implemented to detect the plate region, then the plate location is isolated according to shape features of license plate. From the experiments one can conclude that this method can locate license plates in complex background accurately.
Keywords :
edge detection; image denoising; image segmentation; mathematical morphology; traffic engineering computing; binarized image; complex background; connected component labeling; edge information enhancement; image presegmentation; locating interference; mathematical morphological multiscale edge detection; morphological vehicle license plate locating method; noise suppression; Accuracy; Feature extraction; Filtering theory; Image edge detection; Licenses; Morphology; Noise; complex background; license plate locating; multi-scale structuring elements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2011 First International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-1881-6
Type :
conf
DOI :
10.1109/RVSP.2011.18
Filename :
6114941
Link To Document :
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