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Document Skew Detection and Correction Algorithm using Wavelet and Radon Transforms | ||
| Journal of University of Anbar for Pure Science | ||
| Article 21, Volume 3, Issue 1, 2009, Pages 68-73 PDF (211.01 K) | ||
| DOI: 10.37652/juaps.2009.15534 | ||
| Authors | ||
| F.A. Al-adhadh; Abdul Monem S. Rahma; Hilal M. Yousif Al-Bayatti | ||
| Abstract | ||
| Abstract:As part of research into document image processing, an algorithm has been developed to detect and correct the degree of skew in a scanned image. The principal components of the algorithm are the wavelet and radon transforms. The wavelet transform is used as a form of down-sampling process to reduce the amount of data to be processed. The performance of the algorithm has been evaluated using a sample size of several images taken from different types of document. Evaluation shows that a skew angle may be detected and corrected. | ||
| Keywords | ||
| Document Skew; Detection; Correction Algorithm; Wavelet and Radon Transforms | ||
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