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

arXiv: https://arxiv.org/abs/1801.00824 · HTML: https://mlsanity.com/paper/1801.00824/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jan 2018.

## Built on by (most cited first, 1 of 1)

- [A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction](https://mlsanity.com/paper/2209.09198/) (2022)

## Abstract (arXiv)

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.