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Entropy based Skew correction of document images

Arvind, KR and Kumar, Jayant and Ramakrishnan, AG (2007) Entropy based Skew correction of document images. In: 2nd International Conference on Pattern Recognition and Machine Intelligence, DEC 18-22, 2007, Calcutta.

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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.

Item Type: Conference Paper
Publisher: Springer
Additional Information: Copyright of this article belongs to Springer.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 23 Mar 2010 10:29
Last Modified: 19 Sep 2010 05:57
URI: http://eprints.iisc.ac.in/id/eprint/26315

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