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A Review on Optical Character Recognition Techniques

by Hiral Modi, M. C. Parikh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 6
Year of Publication: 2017
Authors: Hiral Modi, M. C. Parikh
10.5120/ijca2017913061

Hiral Modi, M. C. Parikh . A Review on Optical Character Recognition Techniques. International Journal of Computer Applications. 160, 6 ( Feb 2017), 20-24. DOI=10.5120/ijca2017913061

@article{ 10.5120/ijca2017913061,
author = { Hiral Modi, M. C. Parikh },
title = { A Review on Optical Character Recognition Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 160 },
number = { 6 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume160/number6/27078-2017913061/ },
doi = { 10.5120/ijca2017913061 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:05:57.621770+05:30
%A Hiral Modi
%A M. C. Parikh
%T A Review on Optical Character Recognition Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 6
%P 20-24
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system. OCR (Optical Character Recognition) translates images of typewritten or handwritten characters into the electronically editable format and it preserves font properties. Different techniques for pre-processing and segmentation have been surveyed and discussed in this paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Character Recognition System Image Segmentation OCR Preprocessing Skew correction Classifier.

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