doi: 10.7763/IJMLC.2011.V1.2
Skew Angle Estimation of Urdu Document Images: A Moments Based Approach
R. J. Ramteke1
,
Imran Khan Pathan2 ,
S. C. Mehrotra3
- 1Department of Computer Science, North Maharashtra University, Jalgaon-425001, (M.S.) India.
- 2Miliya College of Arts and Science, Beed,(M.S.), India.
- 3Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University,Aurangabad-431001, (M.S.), India.
Abstract
The performance of an OCR system will not be satisfactory for most of the scanned images without accurate skew correction. This paper presents the skew angle estimation and correction for Urdu document images script using moments method. The basic idea is to draw a random polygon over the text in document. This leads to thinning free preprocessing. The skew angle is calculated using Central moments and centroid of the document image. Experimental results are found to be satisfactory and compared with other skew detection techniques.
Keywords
- Skew Estimation
- Moments
- Optical Character Recognition
- Urdu Document
How to Cite
R. J. Ramteke, Imran Khan Pathan, and S. C. Mehrotra, "Skew Angle Estimation of Urdu Document Images: A Moments Based Approach," International Journal of Machine Learning, vol. 1, no. 1, pp. 7-12, 2011. https://doi.org/10.7763/IJMLC.2011.V1.2
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).