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

Research of Real-time Face recognition method on mobile intelligent device

Authors
Wu Lv, Tian-huang Chen
Corresponding Author
Wu Lv
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.305How to use a DOI?
Keywords
Face recognition; Template Matching; Facial Features Localization; Android
Abstract

In order to solve the problem that traditional face recognition scheme was not efficiently suitable for the smart mobile terminal. This paper proposes a Real-time Face Recognition Method based on geometric features and improved template matching. The method is divided into two steps from general to detail for recognition, the first step is to detect the similarity of key geometric features of face, the second step is to match the detail features of the eyes, nose, mouth by using a specific feature matching template. The experimental results show that the algorithm has good performance in speed and recognition rate, and it has important value of practical application.

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 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.305How 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  - Wu Lv
AU  - Tian-huang Chen
PY  - 2017/01
DA  - 2017/01
TI  - Research of Real-time Face recognition method on mobile intelligent device
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1355
EP  - 1360
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.305
DO  - 10.2991/icmmita-16.2016.305
ID  - Lv2017/01
ER  -