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. International Journal Of Advanced Computer Science And Applications (IJASCA), 9 (8). pp. 402-409. ISSN 2158-107X

[img] Text
Paper_52-Skew_Detection_and_Correction_of_Mushaf_Al_Quran_Script.pdf - Accepted Version

Download (2MB)

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.

Item Type: Article
Uncontrolled Keywords: Skew Detection, Skew Correction, Hough Transform, Preprocessing, Binarization, Image Analysis
Divisions: Faculty of Information and Communication Technology > Department of Software Engineeering
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 17 Jul 2019 04:12
Last Modified: 01 Jul 2021 19:00
URI: http://eprints.utem.edu.my/id/eprint/22859
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item