Text detection in images using texture feature from strokes

Authors:
Caifeng Zhu;Weiqiang Wang;Qianhui Ning
Affiliations:
Graduate School of Chinese Academy of Sciences, Beijing, China;Graduate School of Chinese Academy of Sciences, Beijing, China;Graduate School of Chinese Academy of Sciences, Beijing, China
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

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Abstract

Text embedded in images or videos is indispensable to understand multimedia information. In this paper we propose a new text detection method using the texture feature derived from text strokes. The method consists of four steps: wavelet multiresolution decomposition, thresholding and pixel labeling, text detection using texture features from strokes, and refinement of mask image. Experiment results show that our method is effective.