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Research Article | Open Access |

Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform

Author 1: Salem Saleh Bafjaish Author 2: Mohd Sanusi Azmi Author 3: Mohammed Nasser Al-Mhiqani Author 4: Amirul Ramzani Radzid Author 5: Hairulnizam Mahdin
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 8 · Published 2018 · Cited by 22

DOI: https://doi.org/10.14569/IJACSA.2018.090852

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.

Keywords

How to Cite this Article

Bafjaish, S. S., Azmi, M. S., Al-Mhiqani, M. N., Radzid, A. R., & Mahdin, H. (2018). Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform. International Journal of Advanced Computer Science and Applications, 9(8). https://doi.org/10.14569/IJACSA.2018.090852

Bafjaish, Salem Saleh, et al.. "Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform." International Journal of Advanced Computer Science and Applications, vol. 9, no. 8, 2018, https://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},
  volume    = {9},
  number    = {8},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Salem Saleh Bafjaish and Mohd Sanusi Azmi and Mohammed Nasser Al-Mhiqani and Amirul Ramzani Radzid and Hairulnizam Mahdin},
  doi       = {10.14569/IJACSA.2018.090852},
  url       = {https://doi.org/10.14569/IJACSA.2018.090852}
}

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