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The estimation and correction of handwritten word skew is a difficult and challenging task since it has to be independent of the variations due to handwriting style and writing conditions. In this paper, a coarse-to-fine technique that integrates core-region information is presented. At first, a rough estimation and correction of the skew is accomplished by cutting vertically the word in two overlapping...
The detection and correction of document skew is one of the most important document image analysis steps. The ICDAR2013 Document Image Skew Estimation Contest (DISEC'13) is the first contest which is dedicated to record recent advances in the field of skew estimation using well established evaluation performance measures on a variety of printed document images. The benchmarking dataset that is used...
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