Abstract
Detecting text regions in natural scenes is an important part of computer vision. We propose a novel text detection algorithm that extracts six different classes features of text, and uses Modest AdaBoost with multi-scale sequential search. Experiments show that our algorithm can detect text regions with a f= 0.70, from the ICDAR 2003 datasets which include images with text of various fonts, sizes, colors, alphabets and scripts. © 2011 IEEE.
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CITATION STYLE
Lee, J. J., Lee, P. H., Lee, S. W., Yuille, A., & Koch, C. (2011). AdaBoost for text detection in natural scene. In Proceedings of the International Conference on Document Analysis and Recognition, ICDAR (pp. 429–434). https://doi.org/10.1109/ICDAR.2011.93
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