Skew detection of scanned document images
Rezaei, , Sepideh Barekat; Sarrafzadeh, Hossein; Shanbehzadeh, Jamshid
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Citation:Rezaei, S., Sarrafzadeh, A., and Shanbehzadeh, J. (2013). Skew detection of scanned document images. Proceedings of the International MultiConference of Engineers and Computer Scientists(Ed.), Hong Kong. 1., 451-456.
Permanent link to Research Bank record:https://hdl.handle.net/10652/2732
Skewing of the scanned image is an inevitable process and its detection is an important issue for document recognition systems. The skew of the scanned document image specifies the deviation of the text lines from the horizontal or vertical axis. This paper surveys methods to detect this skew in two steps, dimension reduction and skew estimation. These methods include projection profile analysis, Hough Transform, nearest neighbor clustering, cross-correlation, piece-wise painting algorithm, piece-wise covering by parallelogram, transition counts, morphology.