A Study on the Vehicle Plate Extraction Using Multiresolution Wavelet Decomposition and Edge Properties of Wavelet Subband 


Vol. 27,  No. 9, pp. 916-924, Sep.  2002


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  Abstract

License plate region extraction which affects recognition rate of whole system significantly is the most important part in automatic vehicle license plate recognition system. In this paper, we propose a method to extract the license plate region using multiresolution wavelet decomposition and edge properties of wavelet subband. The High Frequency Subband(HFS) of an image, which is decomposed by wavelet, has edge information for horizontal, vertical and diagonal direction. Edge information is concentrated in each direction of the Headlight-Radiator-Headlight(H-R-H) and the license plate region compared to other regions in the vehicle image. This paper shows a license plate region extraction method using these edge properties and our experimental results with various vehicle images. In our experiments, we tested the proposed method against existing methods and we achieved high accurate results in comparison.

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  Cite this article

[IEEE Style]

S. Par, S. Hwang, J. Park, "A Study on the Vehicle Plate Extraction Using Multiresolution Wavelet Decomposition and Edge Properties of Wavelet Subband," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 9, pp. 916-924, 2002. DOI: .

[ACM Style]

Sung-Wook Par, Su-Cheol Hwang, and Jong-Wook Park. 2002. A Study on the Vehicle Plate Extraction Using Multiresolution Wavelet Decomposition and Edge Properties of Wavelet Subband. The Journal of Korean Institute of Communications and Information Sciences, 27, 9, (2002), 916-924. DOI: .

[KICS Style]

Sung-Wook Par, Su-Cheol Hwang, Jong-Wook Park, "A Study on the Vehicle Plate Extraction Using Multiresolution Wavelet Decomposition and Edge Properties of Wavelet Subband," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 9, pp. 916-924, 9. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880