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

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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
Statistic Details: View Download Statistic

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