Skew detection and correction of mushaf Al-Quran script using hough transform

Bafjaish, Salem Saleh and Azmi, Mohd Sanusi and Al-Mhiqani, Mohammed Nasser and Radzid, Amirul Ramzani and Mahdin, Hairulnizam (2018) Skew detection and correction of mushaf Al-Quran script using hough transform. (IJACSA) International Journal of Advanced Computer Science and Applications, 9 (8). pp. 402-409. ISSN 2156-5570

Text AJ 2018 (592).pdf Restricted to Registered users only Download (2MB) | Request a copy

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 AlQuran 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.

Item Type:	Article
Uncontrolled Keywords:	Skew detection; skew correction; Hough transform; preprocessing; binarization; image analysis
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:	Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User:	UiTM Student Praktikal
Date Deposited:	24 Jan 2022 01:25
Last Modified:	24 Jan 2022 01:25
URI:	http://eprints.uthm.edu.my/id/eprint/5818

Actions (login required)

View Item