Skew Estimation Technique for Binary Document Images based on Thinning and Moments

When a document is fed to a scanner either mechanically or by a human operator for digitization, it suffers from some degrees of skew or tilt. Skew angle detection is an important component of any Optical Character Recognition (OCR) and Document Analysis System. In this paper we present a novel skew estimation technique for document images. The method uses Boundary Growing (BG) technique, Thinning, and Moments for skew angle detection. Experimental results are presented and compared with results on several other skew detection methods.