期刊论文详细信息
EAI Endorsed Transactions on Ambient Systems
Access Control in Smart Homes by Android-Based Liveness Detection
Laura Montanini1  Manola Ricciuti2  Veronica Bartolucci2  Danny Pigini2  Susanna Spinsante2  Ennio Gambi2 
[1] s.spinsante@univpm.it;Dipartimento di Ingegneria dell’Informazione, Universita’ Politecnica delle Marche, Via Brecce Bianche 12 Ancona, 60131, ITALY;
关键词: liveness detection;    spoofing;    face recognition;    Android;    stereo vision;   
DOI  :  10.4108/eai.17-5-2017.152546
来源: DOAJ
【 摘 要 】

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 different ambient light conditions, and further improvements are being developed to deal with low precision image acquisition.

【 授权许可】

Unknown   

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