ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Deep Learning Based Annotation Tool For Optical Character Recognition
Authors
Bhargavi N G , Darshan K.V , Mr.Aravind Ravindran
Keywords
optical character recognition; annotation; user interface; wpf;
Abstract
This paper discusses about the Annotation tool for the optical Character Recognition Technique using deep learning. In today's world, with the advancement in the technology, everything is become digitized. This has led to converting all the important documents in digital format. It is at this point where OCR(Optical Character Recognition) plays a very important role. For OCR annotation purpose , we are creating a user interface with the help of WPF(Windows Presentation Foundation) markup language. WPF helps to the user to look good UI design for a more professional look and feel to the user interface. Windows Presentation Foundation (WPF) is a software technology contains the developments of desktop applications, web applications and mobile applications
Full Paper, Downloads & Preview
How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"Deep Learning Based Annotation Tool For Optical Character Recognition", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 3, page no.10 - 15, March-2019, Available :https://ijrti.org/papers/IJRTI1903003.pdf
APA — 7th edition
G, B. N., K.V, D., & Ravindran, M. A. (2019). Deep Learning Based Annotation Tool For Optical Character Recognition. International Journal for Research Trends and Innovation, 4(3), 10 - 15. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003
MLA — 9th edition
G, Bhargavi N, et al. "Deep Learning Based Annotation Tool For Optical Character Recognition." International Journal for Research Trends and Innovation, vol. 4, no. 3, 2019, pp. 10 - 15, https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003.
Chicago — 17th, bibliography
G, Bhargavi N, Darshan K.V, and Mr.Aravind Ravindran. "Deep Learning Based Annotation Tool For Optical Character Recognition." International Journal for Research Trends and Innovation 4, no. 3 (2019): 10 - 15. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003.
Harvard — author–date
G, B.N., K.V, D. and Ravindran, M.A. (2019) 'Deep Learning Based Annotation Tool For Optical Character Recognition', International Journal for Research Trends and Innovation, 4(3), pp. 10 - 15. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003
IEEE — numbered reference
B. N. G, D. K.V and M. A. Ravindran, "Deep Learning Based Annotation Tool For Optical Character Recognition," IJRTI, vol. 4, no. 3, pp. 10 - 15, Mar. 2019.
Vancouver — biomedical
G BN, K.V D, Ravindran MA. Deep Learning Based Annotation Tool For Optical Character Recognition. IJRTI. 2019 Mar;4(3):10 - 15.
AMA — 11th edition
G BN, K.V D, Ravindran MA. Deep Learning Based Annotation Tool For Optical Character Recognition. IJRTI. 2019;4(3):10 - 15. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1903003,
author = {Bhargavi N G and Darshan K.V and Mr.Aravind Ravindran},
title = {Deep Learning Based Annotation Tool For Optical Character Recognition},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {3},
pages = {10 - 15},
year = {2019},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - G, Bhargavi N
AU - K.V, Darshan
AU - Ravindran, Mr.Aravind
TI - Deep Learning Based Annotation Tool For Optical Character Recognition
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 3
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003
SP - 10
EP - 15
ER -
Issue
Volume 4 Issue 3,
March-2019
Pages : 10 - 15
Other Publication Details
Paper Reg. ID
IJRTI_180739
Published Paper ID
IJRTI1903003
Downloads
205,617
Research Area
Engineering
Country
Shimoga, Karnataka, India
Published
March 2019
Published Paper PDF
https://ijrti.org/papers/IJRTI1903003.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1903003
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved Journal — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters, with CrossRef DOI registration and Scopus Standard metadata on every published paper.
Licence
© 2019 — Authors hold the copyright of this article.
This work is licensed under a
Creative Commons Attribution 4.0 International License
and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0),
which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
