Study on neural networks in optical character recognition

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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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  -