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Research Survey on Skew Detection of Devanagari Script

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IJCA Proceedings on National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)
© 2015 by IJCA Journal
NCKITE 2015 - Number 1
Year of Publication: 2015
Authors:
Trupti Jundale
Ravindra Hegadi

Trupti Jundale and Ravindra Hegadi. Article: Research Survey on Skew Detection of Devanagari Script. IJCA Proceedings on National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015) NCKITE 2015(1):41-44, July 2015. Full text available. BibTeX

@article{key:article,
	author = {Trupti Jundale and Ravindra Hegadi},
	title = {Article: Research Survey on Skew Detection of Devanagari Script},
	journal = {IJCA Proceedings on National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)},
	year = {2015},
	volume = {NCKITE 2015},
	number = {1},
	pages = {41-44},
	month = {July},
	note = {Full text available}
}

Abstract

Skew detection is one of the important part of any document image processing or character recognition system. The successful skew detection and correction may leads to success of document image processing or character recognition system. The skew is may be of scanned document image or of handwritten data. This paper gives the survey of various skew detection techniques used for Devanagari script as well as other scripts. The methods which are used mostly for skew detection like Hough transform, Fourier transform, projection profile, principle component analysis, nearest-neighbor clustering and cross-correlation are described in this paper.

References

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