(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-3 Issue-10 June-2013
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Paper Title : Angular Skew Correction Algorithm for Handwritten Hindi Text
Author Name : Rohit Sharma, Utkarsh Mathur, Naveen Srivastava
Abstract :

In large scale document digitalization of hand written and printed documents, they are scanned and stored in digital form. Since many of these documents are hand written they have errors like angular skewness of words. Skew detection and removal is a part of pre-processing before using OCR software to digitalize the documents. One type of skewness that is most difficult to detect and correct is angular skewness that exist in each of the hand written words. In this paper we propose and test algorithms that can be used for angular skew detection and correction of hand written Hindi text.

Keywords : Document pre-processing, skew correction, skew detection, angular skew.
Cite this article : Rohit Sharma, Utkarsh Mathur, Naveen Srivastava, " Angular Skew Correction Algorithm for Handwritten Hindi Text " , International Journal of Advanced Computer Research (IJACR), Volume-3, Issue-10, June-2013 ,pp.43-46.