Face Recognition System Based on Deep Residual Network

DOI

10.2991/wartia-17.2017.69How to use a DOI?

Keywords

Residual Network, Face Recognition, Android, Python, SL4A

Abstract

With the development of social science and technology, people's awareness of the safety of life gradually high, face recognition technology has entered people's lives .This paper designs a face recognition system based on the depth residual network.This system is implemented in both PC and Android. the PC terminal can add voice broadcast function, timely and effectively remind and prevent should be adopted when " danger" appears.The implementation of the Android mobile terminal is achieved by combining the Android and Python harmoniously through the platform of the Python scripting language provided by SL4A.Face recognition in the Android mobile side can be used for identity security authentication, mobile payment and other convenient operation, greatly increased the ease of operation of the system to make up for the PC side to carry inconvenient enough, the experiment proved that the face recognition technology Embedded into the Android terminal has a good recognition effect.

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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TY  - CONF
AU  - Juan Liang
AU  - Haoyu Zhao
AU  - Xingqian Li
AU  - Hongwei Zhao
PY  - 2017/11
DA  - 2017/11
TI  - Face Recognition System Based on Deep Residual Network
BT  - Proceedings of the 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017)
PB  - Atlantis Press
SP  - 358
EP  - 362
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-17.2017.69
DO  - 10.2991/wartia-17.2017.69
ID  - Liang2017/11
ER  -