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.
Highlights
Document Image processing is one of the fields that are rapidly growing faster in nowadays
A proposed method was tasted on Mushaf AlQuran images that have skewed text
The documents image of Mushaf AlQuran were self-obtained from the source
Summary
Document Image processing is one of the fields that are rapidly growing faster in nowadays. It aims to convert paperbased documents to forms that are proper for storage. It can be defined as the method that is used to perform some operation on specified image such as (Digitization, Storage, compression, Re-printing) [1]. As a result of that, the quality of the document is decreased and that will lead to multiple problems in analysis the image as well as reduce performance of optical character recognition (OCR) [18]. This paper focuses on skew detection and correction for Mushaf Al-Quran image pages. It can use to find lines in image by linear transform to detect straight lines [9]
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