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Skew Estimation in Persian Documents: A Novel Approach
Sydney, Australia July 26-July 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.79International Conference on Computer ...
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M.Y Ashkan, University of Mysore Manasagangothri, India
D. S. Guru, University of Mysore Manasagangothri, India
P. Punitha, University of Mysore Manasagangothri, India
In this paper, a robust method is proposed for estimating skew angle of Persian document images. The proposed algorithm applies morphological closing on blotched image to obtain image with text line blocks. Later, the text line blocks are subjected to thinning to obtain the skeleton and convert the text into line like structures used to estimate the skew angle of document image. The results of the experiments emphasizes that the proposed algorithm works well irrespective of the type of script even for a wide range of skew angle (with in ?90?).
Citation:
M.Y Ashkan, D. S. Guru, P. Punitha, "Skew Estimation in Persian Documents: A Novel Approach," cgiv, pp.64-70, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006
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