期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：2
页码：248-250
语种：English
出版社：Ayushmaan Technologies
摘要：During document scanning, skew is inevitably introduced into the in- coming document image. Skew is any deviation of the image from that of the original document, which is not parallel to the horizontal or vertical. Skew Correction remains one of the vital parts in Document Processing. Many methods have been proposed by researchers for the detection of skew in binary image documents. The majority of them are based on projection profile, Fourier transform, cross-correlation, Hough transform, nearest neighbour connectivity, linear regression analysis and mathematical morphology. In this paper, we reviewed the various techniques for skew detection in document images and their advantages and disadvantages.
