Abstract
Text information in images and videos is frequently a key factor for information indexing and retrieval systems. However, text detection in images is a difficult task since it is often embedded in complex backgrounds. In this paper, we propose an accurate text detection and localization method in images based on stroke information and the Adaptive Run Lenght Smoothing Algorithm. Experimental results show that the proposed approach is accurate, has high recall and is robust to various text sizes, fonts, colors and languages.
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Rais, M., Goussies, N.A., Mejail, M. (2011). Using Adaptive Run Length Smoothing Algorithm for Accurate Text Localization in Images. In: San Martin, C., Kim, SW. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2011. Lecture Notes in Computer Science, vol 7042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25085-9_17
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DOI: https://doi.org/10.1007/978-3-642-25085-9_17
Publisher Name: Springer, Berlin, Heidelberg
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