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Improving Various Offline Techniques used for Handwritten Character Recognition : A Review

by Rajiv Kumar Nath, Mayuri Rastogi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 18
Year of Publication: 2012
Authors: Rajiv Kumar Nath, Mayuri Rastogi
10.5120/7726-1136

Rajiv Kumar Nath, Mayuri Rastogi . Improving Various Offline Techniques used for Handwritten Character Recognition : A Review. International Journal of Computer Applications. 49, 18 ( July 2012), 11-17. DOI=10.5120/7726-1136

@article{ 10.5120/7726-1136,
author = { Rajiv Kumar Nath, Mayuri Rastogi },
title = { Improving Various Offline Techniques used for Handwritten Character Recognition : A Review },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 18 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number18/7726-1136/ },
doi = { 10.5120/7726-1136 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:33.423072+05:30
%A Rajiv Kumar Nath
%A Mayuri Rastogi
%T Improving Various Offline Techniques used for Handwritten Character Recognition : A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 18
%P 11-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwritten character recognition is always an advanced area of research in the field of image processing and pattern recognition and there is a large demand for OCR on offline hand written documents. Even though, sufficient studies have performed from history to this era, paper describes the techniques for converting textual content from a paper document into machine readable form. The computer actually recognizes the characters in the document through a revolutionizing technique called Optical Character Recognition (OCR). There are many paper deals with issues such as hand-printed character and cursive handwritten word recognition which describes recent achievements, difficulties, successes and challenges in all aspects of handwriting recognition. Their many papers present a new approach which improves current handwriting recognition systems. Some experimental results are included. Selection of a relevant feature extraction method is probably the single most important factor in achieving high recognition performance with much better accuracy in character recognition systemsn this paper, we describe the formatting guidelines for IJCA Journal Submission.

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Index Terms

Computer Science
Information Sciences

Keywords

Feature Extraction Image Acquisition Off-Line & Online Handwriting Character Recognition Segmentation and Training

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