DocumentCode :
2196442
Title :
A Method of License Plate Location Based on Mathematical Morphology and Corner Detection
Author :
Shu-jian Ma ; Zhao, Jian-yu
Author_Institution :
Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
Volume :
1
fYear :
2011
fDate :
14-15 May 2011
Firstpage :
257
Lastpage :
260
Abstract :
In order to reduce the effect of definition differences of the images monitored in all-weather conditions on speed and accuracy of the plate location, a fast license plate locating method is presented using texture and geometric features of license plate. Firstly, binary image is obtained by dynamic binarization. Then, the regions where gray values change frequently are marked initially. After a few mathematical morphology processing, plate region is located by corner detection and geometric features of license plate. Experimental results show that the method can locate the license plate of the image which monitored in all-weather conditions quickly and accurately, and accuracy rate can achieve 98.6% and the average locating time is 0.398s which prove the feasibility and validity of the method.
Keywords :
edge detection; feature extraction; image texture; mathematical morphology; traffic engineering computing; binary image; corner detection; dynamic binarization; gray values; license plate geometric features; license plate location method; license plate texture; mathematical morphology; Accuracy; Image color analysis; Image edge detection; Image segmentation; Licenses; Morphology; Pixel; adaptive binarization; corner detection; license plate location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
Type :
conf
DOI :
10.1109/NCIS.2011.58
Filename :
5948728
Link To Document :
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