Abstract: Document skew detection and correction is mainly one of base preprocessing steps in the document analysis. Correction of the skewed scanned images is critical because it has a direct impact on image quality. In this paper, the authors proposed a method for skew detection and correction for Mushaf Al-Quran image pages based on Hough transform method. The technique uses Hough transform lines detection for calculating the skew angulation. It works for different version of Mushaf Al-Quran image pages which has skewed text zones. Moreover, it can detect and correct the skew angle in the range between 20 degrees. Experiment conducted on different Mushaf Al-Quran image pages shows the accuracy of the method.

Salem Saleh Bafjaish, Mohd Sanusi Azmi, Mohammed Nasser Al-Mhiqani, Amirul Ramzani Radzid and Hairulnizam Mahdin. “Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform”. International Journal of Advanced Computer Science and Applications (IJACSA) 9.8 (2018). http://dx.doi.org/10.14569/IJACSA.2018.090852

@article{Bafjaish2018,
title = {Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090852},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090852},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Salem Saleh Bafjaish and Mohd Sanusi Azmi and Mohammed Nasser Al-Mhiqani and Amirul Ramzani Radzid and Hairulnizam Mahdin}
}