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Proceedings Paper

Color clustering and its application in character location
Author(s): Kongqiao Wang; Jari A. Kangas
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Paper Abstract

In this paper, a normalized RGB space based color clustering method is given, and further the application of color clustering in character location is described. Color clustering is used to group a color image into the different binary layers. During color clustering, the normalized RGB space is adopted. In each layer, its color should be homogeneous. As characters normally have different information in color from their background, characters and their background are grouped into different color layers, which are fairly useful to locate characters. In order to achieve character location, an aligning and merging analysis (AMA) scheme is presented to locate all potential characters on each color layer. The experimental results have proven the effectiveness of the method, which is one important part of the optical character recognition (OCR) system.

Paper Details

Date Published: 31 July 2002
PDF: 6 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477211
Show Author Affiliations
Kongqiao Wang, Nokia Research Ctr. (China)
Jari A. Kangas, Nokia Research Ctr. (Finland)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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