Abstract
This paper presents a novel approach for skew estimation of scanned documents. Haar-like features are firstly proposed to construct objective function and then a modified coarse-to-fine search strategy is implemented to reduce computation. Experimental results show that our skew estimation algorithm performs well on general printed documents with different contents, languages and layouts. The accuracy of skew angle estimation is comparable with or better than state-of-the-art methods.
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© 2012 Springer-Verlag Berlin Heidelberg
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Liu, B., Song, L. (2012). Skew Estimation Based on Haar-Like Features. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_4
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DOI: https://doi.org/10.1007/978-3-642-34595-1_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34594-4
Online ISBN: 978-3-642-34595-1
eBook Packages: Computer ScienceComputer Science (R0)