A Presentation of 2-Dimensional Objects Recognition by Normalization 


Vol. 5,  No. 8, pp. 2203-2212, Aug.  1998
10.3745/KIPSTE.1998.5.8.2203


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  Abstract

This paper proposes on the 2-dimensional objects recognition method by normalization. As pre-processing, the toll theory is applied to the understanding of the image structure from the input gray level data for efficient noise removal and edge detection without using a threshold value selection. The straight lines and circles are extracted using Hough transform and primitives are segmented based on stability of the primitives. Also the degree of shaping is calculated and the recognition process is accomplished by digitization process. Finally, the effectiveness of this paper is demonstrated by experiments.

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  Cite this article

[IEEE Style]

K. J. Woon, C. D. Uk, K. J. Bok, "A Presentation of 2-Dimensional Objects Recognition by Normalization," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 8, pp. 2203-2212, 1998. DOI: 10.3745/KIPSTE.1998.5.8.2203.

[ACM Style]

Kim Joo Woon, Cho Dong Uk, and Kim Jong Bok. 1998. A Presentation of 2-Dimensional Objects Recognition by Normalization. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 8, (1998), 2203-2212. DOI: 10.3745/KIPSTE.1998.5.8.2203.