Character Extraction from Color Map Image Using Interactive Clustering


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 1, pp. 270-279, Jan. 1997
10.3745/KIPSTE.1997.4.1.270,   PDF Download:

Abstract

The conversion of printed maps into computerized database is an enormous task. Thus the automation of the conversion process is essential. Efficient computer representation of printed maps and line drawings depends on codes assigned to characters, symbols, and vector representation of the graphics. In many cases, maps are constructed in a number of layers, where each layer is printed in a distinct color, and it represents a subset of the map information. in order to properly represent the character layer from color map images, an interactive clustering and character extraction technique is proposed. Character is usually separated from graphics by extracting and classifying connected components in the image. But this procedure fails, when characters touch or overlap lines - something that occurs often in land register maps. By vectorizing line segments, the touched characters and numbers are extracted. The algorithm proposed in this paper is intended to contribute towards the solution of the color image clustering and touched character problem.


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Cite this article
[IEEE Style]
A. Chang, P. C. Jung, R. S. Burm, "Character Extraction from Color Map Image Using Interactive Clustering," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 1, pp. 270-279, 1997. DOI: 10.3745/KIPSTE.1997.4.1.270.

[ACM Style]
Ahn Chang, Park Chan Jung, and Rhee Sang Burm. 1997. Character Extraction from Color Map Image Using Interactive Clustering. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 1, (1997), 270-279. DOI: 10.3745/KIPSTE.1997.4.1.270.