String extraction based on statistical analysis method in color space

Authors:
Yan Heping;Zhiyan Wang;Sen Guo
Affiliations:
School of Computer Science & Engineering, South China University of Technology, Guangzhou, China;School of Computer Science & Engineering, South China University of Technology, Guangzhou, China;School of Computer Science & Engineering, South China University of Technology, Guangzhou, China
Venue:
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Year:
2005

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Abstract

A method based on statistical characteristics and color space consistent with human visual perception for pixels classification is brought forward in this paper. In the airline coupon color design, we use colors to distinguish different object, the idea is embodied in this method. The marked characteristics suitable for object pixels classification have been found by analysis the statistic characteristics of all sorts of pixels. The experiments have proved that this method is simpler, more efficacious and can support data analysis for the whole coupon project.