8408

A Novel Skew Detection and Correction Approach for Scanned Documents

Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Thomas Breuel, Andreas Dengel

DAS IAPR International Workshop on Document Analysis Systems (DAS-12), April 11-14, Santorini, Greece , DAS , 2016
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.

Show BibTex:

@inproceedings {
       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.},
       number = {}, 
       month = {4}, 
       year = {2016}, 
       title = {A Novel Skew Detection and Correction Approach for Scanned Documents}, 
       journal = {}, 
       volume = {}, 
       pages = {}, 
       publisher = {DAS}, 
       author = {Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Thomas Breuel, Andreas Dengel}, 
       keywords = {},
       url = {https://www.researchgate.net/publication/294578383_A_Novel_Skew_Detection_and_Correction_Approach_for_Scanned_Documents}
}