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Proceedings Paper

Fast algorithm for document skew detection method using run-length smoothing, Hough transform, mathematical morphology and wavelet
Author(s): Fu-sheng Guo; Xiang-ning Chen; Jiangbo Li
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Paper Abstract

Document skew is often introduced into the scanned or printed document, so the document skew detection and correction play an important role in the document image processing. This paper gives a whole review of existent algorithms and describes their respective shortcomings. We propose a novel algorithm combined with run-length smoothing, Hough transform, Mathematical Morphology and Wavelet, as to improve its precision and speed. The algorithm this paper gives is feasible and effective, and it can be run automatically. It can be faster and more accurate than other methods and can be applied in document words identify.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862T (15 November 2007); doi: 10.1117/12.750513
Show Author Affiliations
Fu-sheng Guo, Information Engineering Univ. (China)
Xiang-ning Chen, Academy of Equipment Command and Technology (China)
Jiangbo Li, Academy of Equipment Command and Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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