Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

SIFT based Face Recognition System

Authors
Lin Yali, Huang Zhangen, Yang Huiya
Corresponding Author
Lin Yali
Available Online June 2016.
DOI
10.2991/icemc-17.2017.33How to use a DOI?
Keywords
SIFT; Face recognition system; Algorithm; Feature point
Abstract

In the era of rapid development of this technology, we are enjoying the convenience of technology, but also bear the personal information and property risks. Therefore, the information security technology is also constantly improving and development. From the traditional password password gradually turned to the protection of biometric technology. Face recognition is an important feature of biometrics, so face recognition is quickly applied and promoted. In this paper, the face recognition system based on SIFT algorithm is studied, and the algorithm is used as the core to identify the characteristics of face and match. It is found that the algorithm is effective in face recognition system and is worth popularizing.

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 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
10.2991/icemc-17.2017.33
ISSN
2352-538X
DOI
10.2991/icemc-17.2017.33How 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  - Lin Yali
AU  - Huang Zhangen
AU  - Yang Huiya
PY  - 2016/06
DA  - 2016/06
TI  - SIFT based Face Recognition System
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 161
EP  - 165
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.33
DO  - 10.2991/icemc-17.2017.33
ID  - Yali2016/06
ER  -