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Reseach Article

A Review of Handwritten Character Recognition

by Nikita Mehta, Jyotika Doshi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 165 - Number 4
Year of Publication: 2017
Authors: Nikita Mehta, Jyotika Doshi
10.5120/ijca2017913855

Nikita Mehta, Jyotika Doshi . A Review of Handwritten Character Recognition. International Journal of Computer Applications. 165, 4 ( May 2017), 37-40. DOI=10.5120/ijca2017913855

@article{ 10.5120/ijca2017913855,
author = { Nikita Mehta, Jyotika Doshi },
title = { A Review of Handwritten Character Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 165 },
number = { 4 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume165/number4/27565-2017913855/ },
doi = { 10.5120/ijca2017913855 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:11:33.900281+05:30
%A Nikita Mehta
%A Jyotika Doshi
%T A Review of Handwritten Character Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 165
%N 4
%P 37-40
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim behind Optical Character Recognition is to create human like perception and character identification by artificial systems. A lot of work has been done for printed and handwritten character recognition for many languages across the world. Even for many Indian languages, a good amount of work is done, but it could not get that accuracy as English, Germen etc. languages because of its complexities. In this paper various techniques for Handwritten Character Recognition (HCR) are reviewed and analyzed.

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Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition (OCR) Handwritten Character Recognition (HCR) Binarization Segmentation Feature extraction.