15 November 2007 Fast algorithm for document skew detection method using run-length smoothing, Hough transform, mathematical morphology and wavelet
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862T (2007); doi: 10.1117/12.750513
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fu-sheng Guo, Xiang-ning Chen, Jiangbo Li, "Fast algorithm for document skew detection method using run-length smoothing, Hough transform, mathematical morphology and wavelet", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862T (15 November 2007); doi: 10.1117/12.750513; https://doi.org/10.1117/12.750513
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KEYWORDS
Hough transforms

Mathematical morphology

Detection and tracking algorithms

Wavelets

Binary data

Linear filtering

Wavelet transforms

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