The Document Image Processing which is very important now a days
faces the main challenges of Skew as during scanning skew has been
introduced. The Dissertation work includes the development of new
algorithms for Skew Detection and Skew Correction. The algorithm
involves the segmentation and then further correction is done in
the skewed document. The second algorithm developed includes the
concept of thinning. After developing the two new algorithm the
work is extended by comparing both the algorithms by applying on
various skewed documents. The Comparison is done on the basis of
angle measured that is the accuracy of the angle. The algorithms
developed are quiet beneficial than the existing algorithms as
these are not basically for only one kind of script but can be used
for detecting Skew in various scripts.The Results has been shown by
applying on various scripts.
Lap Lambert Academic Publishing
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||229 x 152 x 3mm (L x W x T)
||Paperback - Trade
Computing & IT >
General theory of computing >
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