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Research Article Open access CC BY 4.0

A Hybrid Approach for Skew Detection and Correction in the Multi-script Scanned Document

M. Ramanan

Asian Journal of Research in Computer Science · pp. 1–8 · Published 19 Nov 2019

10.9734/ajrcos/2019/v4i230112

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.

OCR skew detection and correction radon transform Hough transform Harris corner.

References (9)

  1. 1 A Combined Corner and Edge Detector [DOI]
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  9. 9 Skew Detection and Correction in Text Document Image using Projection Profile Technique [DOI]

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