Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)

The Analysis of Face Recognition Based on BP Artificial Neural Network

Authors
Yang Du, Fei Guo
Corresponding Author
Yang Du
Available Online December 2016.
DOI
10.2991/icmcm-16.2016.56How to use a DOI?
Keywords
Artificial neural network; face recognition; pattern recognition; computer technology
Abstract

Today, with the constant development of science and technology, computer technology is improved gradually as well. But in today's computer technology development, the part of face recognition became a hot research point in pattern recognition of computer with the vast development prospect and application. Face can be recognized by Human's brain accurately, because there is complex neural network in human's brain. So at the same time of computer development, Similar to the human's brain neural network, also the artificial neural network is being developed constantly. In the paper, based on BP artificial neural network the face recognition is introduced, and it is complemented through introducing the model of BP neural network.

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 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/icmcm-16.2016.56
ISSN
2352-5401
DOI
10.2991/icmcm-16.2016.56How 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  - Yang Du
AU  - Fei Guo
PY  - 2016/12
DA  - 2016/12
TI  - The Analysis of Face Recognition Based on BP Artificial Neural Network
BT  - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
PB  - Atlantis Press
SP  - 272
EP  - 277
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmcm-16.2016.56
DO  - 10.2991/icmcm-16.2016.56
ID  - Du2016/12
ER  -