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arXiv · 1801.00824

A Novel Approach to Skew-Detection and Correction of English Alphabets for OCR

Chinmay Chinara·Nishant Nath·Subhajeet Mishra·Sangram Keshari Sahoo·Farida Ashraf Ali
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Abstract

Optical Character Recognition has been a challenging field in the advent of digital computers. It is needed where information is to be readable both to humans and machines. The process of OCR is composed of a set of pre and post processing steps that decide the level of accuracy of recognition. This paper deals with one of the pre-processing steps involved in the OCR process i.e. Skew (Slant) Detection and Correction. The proposed algorithm implemented for skew-detection is termed as the COG (Centre of Gravity) method and for that of skew-correction is Sub-Pixel Shifting method. The algorithm has been kept simple and optimized for efficient skew-detection and correction. The performance analysis of the algorithm after testing has been aptly demonstrated.

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Chinmay Chinara, Nishant Nath, Subhajeet Mishra, Sangram Keshari Sahoo, Farida Ashraf Ali. 2018-01-02. A Novel Approach to Skew-Detection and Correction of English Alphabets for OCR. https://arxiv.org/abs/1801.00824

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