Feature Area-based Vehicle Plate Recognition System ( VPRS )


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 6, pp. 1686-1692, Jun. 1999
10.3745/KIPSTE.1999.6.6.1686,   PDF Download:

Abstract

This paper describes the feature area-based vehicle plate recognition system(VPRS). For the extraction of vehicle plate in a vehicle image, we used the method which extracts vehicle plate area from a vehicle image using intensity variation. For the extraction of the feature area containing character from the extracted vehicle plate, we used the histogram-based approach and the relative location information of individual characters in the extracted vehicle plate. The extracted feature area is used as the input vector of ART2 neural network. The proposed method simplifies the existing complex preprocessing and solves the problem of distortion and noise in the binarization process. In the difficult cases of character extraction by binarization process of previous method, our method efficiently extracts character regions and recognizes it.


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Cite this article
[IEEE Style]
C. B. Ho and J. S. Hwan, "Feature Area-based Vehicle Plate Recognition System ( VPRS )," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 6, pp. 1686-1692, 1999. DOI: 10.3745/KIPSTE.1999.6.6.1686.

[ACM Style]
Cho Bo Ho and Jung Sung Hwan. 1999. Feature Area-based Vehicle Plate Recognition System ( VPRS ). The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 6, (1999), 1686-1692. DOI: 10.3745/KIPSTE.1999.6.6.1686.