Region Extraction of License Plates in Noise Environment Using YUV Color Space Convert 


Vol. 13,  No. 1, pp. 125-132, Feb.  2006
http://dx.doi.org/10.3745/KIPSTD.2006.13D.1.125


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  Abstract

The existing recognition system of license plates cannot get the satisfactory result in noise environments. The purpose of this paper is to propose an algorithm that can recognize the region of license plates accurately in a noise environment. The algorithm is formulated by reorganizing the U- and V-channels of YUV color space as YUV is insensitive to light and carries less data than RGB color information. The region of license plates has been extracted by the geometric characteristics, sizes, and places of labeling images. The proposed algorithm was found to improve the process of extracting the region of license plates in various noise environments.

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[IEEE Style]

K. Jae-Nam, C. Tae-Il, K. Byung-Ki, "Region Extraction of License Plates in Noise Environment Using YUV Color Space Convert," The KIPS Transactions:PartD, vol. 13, no. 1, pp. 125-132, 2006. DOI: http://dx.doi.org/10.3745/KIPSTD.2006.13D.1.125.

[ACM Style]

Kim Jae-Nam, Choi Tae-Il, and Kim Byung-Ki. 2006. Region Extraction of License Plates in Noise Environment Using YUV Color Space Convert. The KIPS Transactions:PartD, 13, 1, (2006), 125-132. DOI: http://dx.doi.org/10.3745/KIPSTD.2006.13D.1.125.

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