DocumentCode :
3335948
Title :
Application of Mean-Shift algorithm for license plate localization
Author :
Shah, Kinjal A. ; Kapadia, Harsh K. ; Shah, Vipul A. ; Shah, Maurya N.
fYear :
2011
fDate :
8-10 Dec. 2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper discusses about localization of license plate from vehicle images using different methods. And main focus is on Mean Shift Algorithm which is a non parametric feature space analysis technique. It defines a window around each data points and shifts the center of the window to the mean of the data point though a Mean-Shift Vector till it converges and window shifts to the denser region. The other methods used are Crop Object, Morphological operations, Localize the object by thresholding and area of object. We also discuss how Mean-Shift algorithm is accurate enough and robust to be used in the same area. This includes the basic definition of the algorithm and mathematical equations.
Keywords :
image processing; crop object; data point; license plate localization; mathematical equation; mean-shift algorithm; mean-shift vector; morphological operation; nonparametric feature space analysis technique; object thresholding; vehicle imaging; Algorithm design and analysis; Conferences; Image edge detection; Kernel; Licenses; Morphological operations; Vectors; Automatic license plate recognition; kernel density; localization; mean shift vector; threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering (NUiCONE), 2011 Nirma University International Conference on
Conference_Location :
Ahmedabad, Gujarat
Print_ISBN :
978-1-4577-2169-4
Type :
conf
DOI :
10.1109/NUiConE.2011.6153237
Filename :
6153237
Link To Document :
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