Color clustering and its application in character location

Kongqiao Wang; Jari A. Kangas

doi:10.1117/12.477211

31 July 2002 Color clustering and its application in character location

Kongqiao Wang, Jari A. Kangas

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477211
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

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.

Citation Download Citation

Kongqiao Wang and Jari A. Kangas "Color clustering and its application in character location", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477211

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