Title :
Fast image restoration technique for car license plate based on PWS filter using 2DPCA algorithm
Author :
Srisomboon, Kanabadee ; Thongdit, Preecha ; Lee, Wilaiporn ; Patanavijit, Vorapoj
Author_Institution :
Communication and Computer Network Research Group, Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut´s University of Technology North Bangkok, Thailand
fDate :
Jan. 31 2013-Feb. 1 2013
Abstract :
In this paper, we propose the algorithm that used to identify car license plate that the capture images come in degraded version by combining a PWS filtering technique with a 2DPCA algorithm. From experiment results, our algorithm has three advantages. First, it can be operated to the image directly without transforming the structure of the image, which is two dimensional data, into a vector. Second, it can be implemented with less burden of computation and requires less memory. At last, less time is required to restore the image.
Keywords :
Filtering algorithms; Image restoration; Licenses; Signal to noise ratio; Training; Vectors; Wiener filters; 2DPCA; PCA; PWS filter; Wiener filter;
Conference_Titel :
Knowledge and Smart Technology (KST), 2013 5th International Conference on
Conference_Location :
Chonburi, Thailand
Print_ISBN :
978-1-4673-4850-8
DOI :
10.1109/KST.2013.6512806