Skip to main navigation Skip to search Skip to main content

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

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.

Original languageEnglish
Article number52
Pages (from-to)402-409
Number of pages8
JournalInternational Journal of Advanced Computer Science and Applications
Volume9
Issue number8
DOIs
Publication statusPublished - 1 Aug 2018
Externally publishedYes

Fingerprint

Dive into the research topics of 'Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform'. Together they form a unique fingerprint.

Cite this