Research Article
Access Control in Smart Homes by Android-Based Liveness Detection
@ARTICLE{10.4108/eai.17-5-2017.152546, author={Susanna Spinsante and Laura Montanini and Veronica Bartolucci and Manola Ricciuti and Danny Pigini and Ennio Gambi}, title={Access Control in Smart Homes by Android-Based Liveness Detection}, journal={EAI Endorsed Transactions on Ambient Systems}, volume={4}, number={13}, publisher={EAI}, journal_a={AMSYS}, year={2017}, month={5}, keywords={liveness detection, spoofing, face recognition, Android, stereo vision}, doi={10.4108/eai.17-5-2017.152546} }- Susanna Spinsante
Laura Montanini
Veronica Bartolucci
Manola Ricciuti
Danny Pigini
Ennio Gambi
Year: 2017
Access Control in Smart Homes by Android-Based Liveness Detection
AMSYS
EAI
DOI: 10.4108/eai.17-5-2017.152546
Abstract
Technologies for personal safety and security play an increasing role in modern life, and are among the most valuable features expected to be supported by so-called smart homes. This paper presents a low-complexity Android application designed for both mobile and embedded devices, that exploits the available on-board camera to easily capture two images of a subject, and processes them to discriminate a true 3D and live face, from a fake or printed 2D one. The liveness detection based on such a discrimination provides anti-spoofing capabilities to secure access control based on face recognition. The limited computational complexity of the developed application makes it suitable for practical implementation in video-entry phones based on embedded Android platforms. The results obtained are satisfactory even in di erent ambient light conditions, and further improvements are being developed to deal with low precision image acquisition.
Copyright © 2017 Susanna Spinsante et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
