Abstract
The document images that are fed into an Optical Character Recognition system, might be skewed. This could be due to improper feeding of the document into the scanner or may be due to a faulty scanner. In this paper, we propose a skew detection and correction method for document images. We make use of the inherent randomness in the Horizontal Projection profiles of a text block image, as the skew of the image varies. The proposed algorithm has proved to be very robust and time efficient. The entire process takes less than a second on a 2.4 GHz Pentium IV PC. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Arvind, K. R., Kumar, J., & Ramakrishnan, A. G. (2007). Entropy based skew correction of document images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4815 LNCS, pp. 495–502). Springer Verlag. https://doi.org/10.1007/978-3-540-77046-6_61
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