Comparison of various Skew Detection and Correction Techniques
Автор:Loveleen Kaur Год: 2014 Издание:LAP Lambert Academic Publishing Страниц: 56 ISBN: 9783659167959 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.
