Title :
A Technique for Skew Detection of Printed Arabic Documents
Author_Institution :
Inf. & Comput. Sci. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
Document skew correction is one of the core preprocessing steps in document analysis systems. In this paper, the author proposes a new multi-step skew detection technique for printed Arabic documents. The technique exploits the unique property of the writing line of Arabic script and is based on connected component analysis and projection profiles. The proposed technique works for different types of Arabic documents having text and non-text zones with unrestricted layout. Moreover due to the multi-step approach, it can detect skews with the resolution of ± 0.05 degrees. Experiments conducted on different Arabic documents shows the effectiveness of the technique.
Keywords :
document image processing; natural language processing; object detection; statistical analysis; text analysis; Arabic script; connected component analysis; document analysis system; document skew correction; multistep skew detection technique; nontext zone; printed Arabic document; projection profile; writing line property; Algorithm design and analysis; Estimation; Image segmentation; Layout; Robustness; Text analysis; Writing; Document Analysis; Document Processing; Pre-processing; Skew Correction; Skew Detection;
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference
Conference_Location :
Macau
DOI :
10.1109/CGIV.2013.21