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20 March 2024
Reseach Article

Optical Character Recognition using Deep Neural Network

by Raajkumar G., Indumathi D.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 41
Year of Publication: 2020
Authors: Raajkumar G., Indumathi D.
10.5120/ijca2020920552

Raajkumar G., Indumathi D. . Optical Character Recognition using Deep Neural Network. International Journal of Computer Applications. 176, 41 ( Jul 2020), 61-65. DOI=10.5120/ijca2020920552

@article{ 10.5120/ijca2020920552,
author = { Raajkumar G., Indumathi D. },
title = { Optical Character Recognition using Deep Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2020 },
volume = { 176 },
number = { 41 },
month = { Jul },
year = { 2020 },
issn = { 0975-8887 },
pages = { 61-65 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number41/31479-2020920552/ },
doi = { 10.5120/ijca2020920552 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:05.205465+05:30
%A Raajkumar G.
%A Indumathi D.
%T Optical Character Recognition using Deep Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 41
%P 61-65
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical Character Recognition is a method of extracting text from image. Its main purpose is to make editable document from existing paper or image files. Optical character recognition task involves identifying simple edge detection technique and matching them with predefined patterns. It is a compartment of image recognition and is extensively used as a form of data entry with the input being some sort of printed document or data record like statements from bank, invoices, resume, business card and passport. An existing neural network (LSTM) based OCR model is able to identify text in an image but it could not able to identify the text in a tilted / rotated image. This paper aims at analyzing various text images like blurred image, tilted image and it identifies the text from these images using deep learning models.

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Index Terms

Computer Science
Information Sciences

Keywords

Deep neural network LSTM CNN