Abstract: Chinese Handwritten character recognition is an emerging field in Computer Vision and Pattern Recognition. Documents acquired through Scanner, Mobile or Camera devices are often prone to Skew and Correction of skew for such document is a major task and important factor in optical character recognition. The goal of the work is to correct skew for the documents. In this paper we have proposed a novel method for skew correction using Hough transform. The proposed approach with high precision can detect skew with large angle (-90 to +90) the experimental result reveal that the proposed method is efficient compared to well-known existing methods. The experimental results show the efficacy compared to the result of well-known existing methods.

Tian Jipeng,, G.Hemantha Kumar and H.K. Chethan, “Skew correction for Chinese character using Hough transform” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010106

@article{Jipeng,2011,
title = {Skew correction for Chinese character using Hough transform},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis}
doi = {10.14569/SpecialIssue.2011.010106},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010106},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {Tian Jipeng, and G.Hemantha Kumar and H.K. Chethan},
}