Text segmentation in complex background based on color and scale information of character strokes

Authors:
Weiqiang Wang;Libo Fu;Wen Gao
Affiliations:
Institute of Computing Technology, CAS, Beijing, China and Graduate School of Chinese Academy of Sciences, CAS, Beijing, China;Institute of Computing Technology, CAS, Beijing, China;Institute of Computing Technology, CAS, Beijing, China and Graduate School of Chinese Academy of Sciences, CAS, Beijing, China
Venue:
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Year:
2007

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Abstract

This paper presents a robust approach to segmenting text embedded in complex background. Our approach consists of four steps: smart sampling, unsupervised clustering, the Bayesian decision, post-processing. The experimental results show that it works effectively, and is more efficient in removing complex background residues than the popular K-means method.