Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Study on neural networks in optical character recognition

Authors
Jin-Song Wu
Corresponding Author
Jin-Song Wu
Available Online December 2015.
DOI
10.2991/nceece-15.2016.299How to use a DOI?
Keywords
Optical character recognition; neural network
Abstract

Optical character recognition is already widely applied to industrial applications, and its recognition accuracy is also increasing with a variety of algorithms. This paper introduces three kinds of neural network structures named BP neural network, DBN network, CNN network. Through experimental comparison, analyze the performance of three networks on the optical character recognition.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-150-6
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.299How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jin-Song Wu
PY  - 2015/12
DA  - 2015/12
TI  - Study on neural networks in optical character recognition
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1657
EP  - 1660
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.299
DO  - 10.2991/nceece-15.2016.299
ID  - Wu2015/12
ER  -