Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)

Algorithm of Face Recognition Based on Chaotic theory

Authors
Yu-ping Yang
Corresponding Author
Yu-ping Yang
Available Online September 2017.
DOI
10.2991/icmmcce-17.2017.1How to use a DOI?
Keywords
face recognition; chaotic projection; information security
Abstract

Face recognition belongs to the field of digital image, there are many applications. The classical algorithms of face recognition include algorithm of PCA, algorithm of LDA, algorithm of ICA, and algorithm of SIFT which is for robust feature extraction, etc. In this paper, the improved algorithm is proposed based on classical algorithm of SIFT, and the chaos theory is applied to the improved algorithm to project the datum of face images. It is proved that the improved algorithm has better anti-attack and better recognition efficiency.

Copyright
© 2017, 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 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-381-4
ISSN
2352-5401
DOI
10.2991/icmmcce-17.2017.1How to use a DOI?
Copyright
© 2017, 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  - Yu-ping Yang
PY  - 2017/09
DA  - 2017/09
TI  - Algorithm of Face Recognition Based on Chaotic theory
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.1
DO  - 10.2991/icmmcce-17.2017.1
ID  - Yang2017/09
ER  -