@article{(Open Science Index):https://publications.waset.org/pdf/11744,
	  title     = {Skew Detection Technique for Binary Document Images based on Hough Transform},
	  author    = {Manjunath Aradhya V N and  Hemantha Kumar G and  Shivakumara P},
	  country	= {},
	  institution	= {},
	  abstract     = {Document image processing has become an
increasingly important technology in the automation of office
documentation tasks. During document scanning, skew is inevitably
introduced into the incoming document image. Since the algorithm
for layout analysis and character recognition are generally very
sensitive to the page skew. Hence, skew detection and correction in
document images are the critical steps before layout analysis. In this
paper, a novel skew detection method is presented for binary
document images. The method considered the some selected
characters of the text which may be subjected to thinning and Hough
transform to estimate skew angle accurately. Several experiments
have been conducted on various types of documents such as
documents containing English Documents, Journals, Text-Book,
Different Languages and Document with different fonts, Documents
with different resolutions, to reveal the robustness of the proposed
method. The experimental results revealed that the proposed method
is accurate compared to the results of well-known existing methods.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {8},
	  year      = {2007},
	  pages     = {2401 - 2407},
	  ee        = {https://publications.waset.org/pdf/11744},
	  url   	= {https://publications.waset.org/vol/8},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 8, 2007},
	}