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.