Skew detection of scanned document images
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Other Title
Authors
Rezaei, , Sepideh Barekat
Sarrafzadeh, Hossein
Shanbehzadeh, Jamshid
Sarrafzadeh, Hossein
Shanbehzadeh, Jamshid
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2013
Supervisors
Type
Conference Contribution - Paper in Published Proceedings
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
document recognition systems
preprocessing
skew estimation algorithms
dimension reduction
preprocessing
skew estimation algorithms
dimension reduction
ANZSRC Field of Research Code (2020)
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.
Abstract
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.
Publisher
Newswood Ltd.
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Newswood Ltd.
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