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Design of an Effective Preprocessing Approach for Offline Handwritten Images

by Dimple Bhasin, Gulshan Goyal, Maitreyee Dutta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 1
Year of Publication: 2014
Authors: Dimple Bhasin, Gulshan Goyal, Maitreyee Dutta
10.5120/17147-7179

Dimple Bhasin, Gulshan Goyal, Maitreyee Dutta . Design of an Effective Preprocessing Approach for Offline Handwritten Images. International Journal of Computer Applications. 98, 1 ( July 2014), 17-23. DOI=10.5120/17147-7179

@article{ 10.5120/17147-7179,
author = { Dimple Bhasin, Gulshan Goyal, Maitreyee Dutta },
title = { Design of an Effective Preprocessing Approach for Offline Handwritten Images },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 1 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number1/17147-7179/ },
doi = { 10.5120/17147-7179 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:25:04.691882+05:30
%A Dimple Bhasin
%A Gulshan Goyal
%A Maitreyee Dutta
%T Design of an Effective Preprocessing Approach for Offline Handwritten Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 1
%P 17-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwritten pattern recognition involves conversion of scanned images of handwritten patterns into a computer processable form. To recognize handwritten patterns is an easy and trivial task for human beings, but for a machine it is a cumbersome and a difficult task due to high variations in the shape of characters and writing style. Although complicated to train, yet machines can be useful in providing solution to the recognition problem. They save time and money and eliminate the requirement of execution of repetitive tasks by humans. In order to have better recognition the image should be properly pre-processed. Pre-processing reduces and eliminates noise and irregularities. The present paper focuses on different approaches to pre-processing and an insight to general methodology for the recognition process.

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Index Terms

Computer Science
Information Sciences

Keywords

Handwritten Pattern Recognition Pre-Processing Filters Thinning Artificial Neural Networks Feature Extraction and Recognition.

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