Skew detection and correction based on an axes-parallel bounding box

Abstract

Skew detection and correction of a scanned document is a preprocessing step for optical character recognition systems. We present a novel approach in skew detection and correction of a typed document by minimizing the area of the axis-parallel bounding box. Advantage of our approach over existing methods is that our algorithm is script and content independent. Moreover, our algorithm is not subject to skew angle limitations. The performance of our algorithm was evaluated using images of different scripts with varying skew angles with and without graphical images. Our experiments show that our algorithm outperforms existing state-of-the-art skew detection algorithms.