2006 | OriginalPaper | Chapter
Text Detection in Images Using Texture Feature from Strokes
Authors : Caifeng Zhu, Weiqiang Wang, Qianhui Ning
Published in: Advances in Multimedia Information Processing - PCM 2006
Publisher: Springer Berlin Heidelberg
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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.