A Novel Skew Detection and Correction Approach for Scanned Documents

Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Eichenberger-Liwicki, Thomas Breuel, Andreas Dengel
DAS, Santorini, Greece, DAS, 4/2016

Abstract:

Document analysis is relying on pre-processing stage. As much as we get optimal results in pre-processing, better will be the chances of analyzing the contents of a document. Similarly, for scanned text documents, a skew detection and then correction is very important, because, it significantly improves the accuracies in Optical Character Recognition (OCR) systems. This paper presents a novel approach for skew detection and correction. The approach is specifically tested on Latin and Arabic like scripts and outperform state of the art approaches.

Files:

  https://www.researchgate.net/publication/294578383_A_Novel_Skew_Detection_and_Correction_Approach_for_Scanned_Documents

BibTex:

@inproceedings{ AHMA2016,
	Title = {A Novel Skew Detection and Correction Approach for Scanned Documents},
	Author = {Riaz Ahmad and Muhammad Zeshan Afzal and Sheikh Faisal Rashid and Marcus Eichenberger-Liwicki and Thomas Breuel and Andreas Dengel},
	BookTitle = {DAS},
	Month = {4},
	Year = {2016},
	Publisher = {DAS}
}

     
Last modified:: 30.08.2016