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Reseach Article

Handwriting Recognition System- A Review

by Pooja Yadav, Nidhika Yadav
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 19
Year of Publication: 2015
Authors: Pooja Yadav, Nidhika Yadav
10.5120/20090-2131

Pooja Yadav, Nidhika Yadav . Handwriting Recognition System- A Review. International Journal of Computer Applications. 114, 19 ( March 2015), 36-40. DOI=10.5120/20090-2131

@article{ 10.5120/20090-2131,
author = { Pooja Yadav, Nidhika Yadav },
title = { Handwriting Recognition System- A Review },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 19 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number19/20090-2131/ },
doi = { 10.5120/20090-2131 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:21.143249+05:30
%A Pooja Yadav
%A Nidhika Yadav
%T Handwriting Recognition System- A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 19
%P 36-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwriting recognition has been an active and challenging area of research. Handwriting recognition system plays a very important role in today's world. Handwriting recognition is very popular and computationally expensive work. At present time it is very difficult to find correct meaning of handwritten documents. There are many areas where we need to recognize the words, alphabets and digit. There are many application postal addresses, bank cheque where we need to recognize handwriting. This review paper will focus on different technique which is used on handwriting recognition. There are basically two different types of handwriting recognition system online and offline handwriting recognition. There are many approaches are present for offline handwriting recognition system. This review paper will represent the limitations and superiorities of different technique which is used for handwriting recognition system. So handwriting recognition has been studied from many decades. Handwriting recognition system can be used to solve many complex problems and can make human's work easy. So this paper is an overview of different approaches of handwriting recognition system with their limitations and accuracy rate.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Handwriting recognition neural network MatLab