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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhu, C., Wang, W., Ning, Q. (2006). Text Detection in Images Using Texture Feature from Strokes. In: Zhuang, Y., Yang, SQ., Rui, Y., He, Q. (eds) Advances in Multimedia Information Processing - PCM 2006. PCM 2006. Lecture Notes in Computer Science, vol 4261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922162_35
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DOI: https://doi.org/10.1007/11922162_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48766-1
Online ISBN: 978-3-540-48769-2
eBook Packages: Computer ScienceComputer Science (R0)