Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 8
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.
Authors and Affiliations
Salem Saleh Bafjaish, Mohd Sanusi Azmi, Mohammed Nasser Al-Mhiqani, Amirul Ramzani Radzid, Hairulnizam Mahdin
Keywords
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- EP ID EP376460
- DOI 10.14569/IJACSA.2018.090852
- Views 104
- Downloads 0
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