A Hybrid Approach for Skew Detection and Correction in the Multi-script Scanned Document
M. Ramanan *
Department of Computer Science, Faculty of Applied Science, Trincomalee Campus, Eastern University, Sri Lanka.
*Author to whom correspondence should be addressed.
Abstract
Skew detection and correction of a scanned document is a very important step in Optical Character Recognition because skew of scanned document is reducing the accuracy of text line approach for skew detection and correction to calculate the skew angle on multi-script scanned document using Radon transform, Hough transform, Harries corner, Wiener filter and smearing algorithm. In this paper, a proposed approach is compared existing skew detection and correction techniques for printed documents having different scripts: English, Tamil, Sinhala and mixed-script. A proposed hybrid method is tested on 160 documents. The overall testing results is 90.62% for skew detection and correction.
Keywords: OCR, skew detection and correction, radon transform, Hough transform, Harris corner.