Facial Standardization Method in Video Face Recognition System

DOI

10.2991/icence-16.2016.123How to use a DOI?

Keywords

Face Recognition; Facial Standardization; Uncontrolled Environment

Abstract

In order to the practical face recognition system using in an uncontrolled environment exist many outside interference factors. In this paper, it is proposed that a novel facial standardization method to extract the core region of face samples, furthermore, simultaneously adjust the facial posture and achieve face alignment. It can avoid "mis-alignment disaster" during the feature matching process. In this paper, a video face recognition system of small samples capacity has been established to test this method. The experiments show that the method can make the face samples optimal in the uncontrolled environment and enhance the recognition rate of the face recognition system.

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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TY  - CONF
AU  - Kaiyu Wang
AU  - Zongmin Yu
AU  - Menglin Sheng
AU  - Peng Sun
PY  - 2016/09
DA  - 2016/09
TI  - Facial Standardization Method in Video Face Recognition System
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 654
EP  - 659
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.123
DO  - 10.2991/icence-16.2016.123
ID  - Wang2016/09
ER  -