Entropy based skew correction of document images

Authors:
K. R. Arvind;Jayant Kumar;A. G. Ramakrishnan
Affiliations:
MILE Lab, Electrical Engineering, Indian Institute of Science, Bangalore, India;MILE Lab, Electrical Engineering, Indian Institute of Science, Bangalore, India;MILE Lab, Electrical Engineering, Indian Institute of Science, Bangalore, India
Venue:
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Year:
2007

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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.