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

Salem Saleh Bafjaish, Mohd Sanusi Azmi, Mohammed Nasser Al-Mhiqani, Amirul Ramzani Radzid, Hairulnizam Mahdin

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


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.

Original languageEnglish
Article number52
Pages (from-to)402-409
Number of pages8
JournalInternational Journal of Advanced Computer Science and Applications
Issue number8
Publication statusPublished - 1 Aug 2018
Externally publishedYes

Cite this