DocumentCode
527763
Title
A registration method for vehicle license plate image
Author
Li, Nan ; Lu, Xiaobo
Author_Institution
Sch. of Transp., Southeast Univ., Nanjing, China
Volume
7
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
3554
Lastpage
3557
Abstract
Image registration is the precondition of image enhance and image reconstruction which uses sequence low-resolution images. This paper presents a new intensity-based image registration, which combine feature based and statistical based methods. The proposed method consists of three steps. First, the center of gravity (CG) method is used to estimate the relative displacement. Then, the correlation method is used to estimate the rotation and zoom. Finally, the deformation function is established and the registration is processed. Simulation experimental results show the effectiveness of the proposed method and its superiority to the normal correlation methods in saving calculation.
Keywords
feature extraction; image enhancement; image reconstruction; image registration; image resolution; statistical analysis; vehicles; center of gravity method; combine feature based method; correlation method; deformation function; image enhancement; image reconstruction; intensity-based image registration; sequence low-resolution images; statistical based method; vehicle license plate image; Accuracy; Biomedical imaging; Correlation; Image registration; Licenses; Pixel; Simulated annealing; center of gravity; correlation; feature point; registration; vehicle license plate images;
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.2010.5584149
Filename
5584149
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