Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Face Recognition Technology Based On Image Processing

Authors
Xin Chen, Yajuan Li, Zhimin Tian
Corresponding Author
Xin Chen
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.68How to use a DOI?
Keywords
Face recognition, Image processing, Face detection, Facial features
Abstract

Face recognition is an important identification technology, which has broad application prospects. As an important biometric feature with high universal and non-contact collecting, face is increasingly being used for authentication. This paper describes the basic process of face recognition and briefly analyzes the image processing technologies in face recognition, such as light compensation, Gaussian smoothing, similarity calculation and edge detection method. Face recognition technology is also described in detail, and the eye is the most critical part in human facial features. Finally, two candidates are selected for simulation and analysis to verify the effectiveness and feasibility of image processing method.

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 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.68
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.68How 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  - Xin Chen
AU  - Yajuan Li
AU  - Zhimin Tian
PY  - 2016/03
DA  - 2016/03
TI  - Face Recognition Technology Based On Image Processing
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 340
EP  - 344
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.68
DO  - 10.2991/icmmct-16.2016.68
ID  - Chen2016/03
ER  -