  Optical Character Recognition has been a challenging field in the advent of
digital computers. It is needed where information is to be readable both to
humans and machines. The process of OCR is composed of a set of pre and post
processing steps that decide the level of accuracy of recognition. This paper
deals with one of the pre-processing steps involved in the OCR process i.e.
Skew (Slant) Detection and Correction. The proposed algorithm implemented for
skew-detection is termed as the COG (Centre of Gravity) method and for that of
skew-correction is Sub-Pixel Shifting method. The algorithm has been kept
simple and optimized for efficient skew-detection and correction. The
performance analysis of the algorithm after testing has been aptly
demonstrated.
