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Handwritten Character Recognition using Neural Networks forBanking Applications

by Shreya Mhalgi, Ketki Ganu, Prajakta Marne, Radhika Phadke, Swati Shekapure
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 27
Year of Publication: 2020
Authors: Shreya Mhalgi, Ketki Ganu, Prajakta Marne, Radhika Phadke, Swati Shekapure
10.5120/ijca2020920296

Shreya Mhalgi, Ketki Ganu, Prajakta Marne, Radhika Phadke, Swati Shekapure . Handwritten Character Recognition using Neural Networks forBanking Applications. International Journal of Computer Applications. 176, 27 ( Jun 2020), 1-7. DOI=10.5120/ijca2020920296

@article{ 10.5120/ijca2020920296,
author = { Shreya Mhalgi, Ketki Ganu, Prajakta Marne, Radhika Phadke, Swati Shekapure },
title = { Handwritten Character Recognition using Neural Networks forBanking Applications },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2020 },
volume = { 176 },
number = { 27 },
month = { Jun },
year = { 2020 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number27/31365-2020920296/ },
doi = { 10.5120/ijca2020920296 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:43:33.574263+05:30
%A Shreya Mhalgi
%A Ketki Ganu
%A Prajakta Marne
%A Radhika Phadke
%A Swati Shekapure
%T Handwritten Character Recognition using Neural Networks forBanking Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 27
%P 1-7
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Banks often accept handwritten forms for various purposes like application for creating or closure of accounts, loans, net banking, etc. The form takes a lot of user information consisting of sensitive data viz. Aadhar card number, pan card number. This information is usually taken in pen-paper format and needs entry to the bank database to document the particulars in the system or the bank requires to store a physical copy of the form for future reference. Manual entry of these details into the bank database is a tedious process and might be erroneous at times. Also, maintaining the original copy of the form or like document generate stockpiles of paper. In an attempt to overcome these discrepancies, the proposed problem statement provides a solution by making use of Handwritten Character Recognition which will input data in the form of an image to store and maintain it in a digital library.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Networks Deep learning Convolutional Neural Networks(CNN) Handwritten Character Recognition(HCR)

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