霍夫变换
歪斜
计算机科学
预处理器
图像(数学)
人工智能
计算机视觉
模式识别(心理学)
电信
作者
Salem Saleh Bafjaish,Mohd Sanusi Azmi,Mohammed Nasser,Amirul Ramzani,Hairulnizam Mahdin
出处
期刊:International Journal of Advanced Computer Science and Applications
[The Science and Information Organization]
日期:2018-01-01
卷期号:9 (8)
被引量:20
标识
DOI:10.14569/ijacsa.2018.090852
摘要
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.
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