Document Skew Detection and Correction Algorithm using Wavelet and Radon Transforms

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.