SLOPE AND CURVE CODING TO RECOGNIZE ENGLISH NUMERALS

International Journal of Students' Research in Technology & Management

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Field Value
 
Title SLOPE AND CURVE CODING TO RECOGNIZE ENGLISH NUMERALS
 
Creator Kumar Prasad, Binod
 
Subject Slope Coding
Curve Coding
English Numerals Recognition
K-Nearest Neighbour
Optical Character Recognition
Delta Distance Coding
Slope Coding
 
Description Purpose: Lines and Curves are important parts of characters in any script. Features based on lines and curves go a long way to characterize an individual character as well as differentiate similar-looking characters. The present paper proposes an English numerals recognition system using feature elements obtained from the novel and efficient coding of the curves and local slopes. The purpose of this paper is to recognize English numerals efficiently to develop a reliable Optical Character recognition system.
Methodology: K-Nearest Neighbour classification technique has been implemented on a global database MNIST to get an overall recognition accuracy rate of 96.7 %, which is competitive to other reported works in literature. Distance features and slope features are extracted from pre-processed images. The feature elements from training images are used to train K-Nearest-Neighbour classifier and those from test images have been used to classify them.
Main Findings: The findings of the current paper can be used in Optical Character Recognition (OCR) of alphanumeric characters of any language, automatic reading of amount on bank cheque, address written on envelops, etc.
Implications: Due to the similarity in structures of some numerals like 2, 3, and 8, the system produces respectively lower recognition accuracy rates for them.
Novelty: The ways of finding distance and slope features to differentiate the curves in the structure of English Numerals is the novelty of this work.
 
Publisher GIAP Journals
 
Date 2020-06-16
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://giapjournals.com/ijsrtm/article/view/ijsrtm.2020.823
10.18510/ijsrtm.2020.823
 
Source International Journal of Students' Research in Technology & Management; Vol. 8 No. 2 (2020); 15-20
2321-2543
 
Language eng
 
Relation https://giapjournals.com/ijsrtm/article/view/ijsrtm.2020.823/3053
 
Rights Copyright (c) 2020 Prasad
https://creativecommons.org/licenses/by-sa/4.0
 

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