Pattern Recognition Letters
Hough transform based fast skew detection and accurate skew correction methods
Pattern Recognition
A new technique for global and local skew correction in binary documents
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
An adaptive technique for global and local skew correction in color documents
Expert Systems with Applications: An International Journal
Document image analysis: issues, comparison of methods and remaining problems
Artificial Intelligence Review
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In this paper we propose a new and efficient method for estimation of skew angle in a binary document image, based on Image dilation and Region labeling technique. The input document is dilated by using structuring element as line whose length is fixed experimentally and the region labeling technique is applied using depth first search. Orientation angle is calculated for all the labeled regions, the average of all orientation angles is considered as the skew angle of the document. The experimental results show that better accuracy of estimation could be achieved using this approach since it is based on orientation angles of all the text lines of the underlying document and is the minimum variance unbiased estimator of the true skew angle. The novelty of the proposed method is that, it is robust for machine printed document of any size/font, multi-column layouts and documents containing graphics, pictures, charts, tables etc.