DocumentCode :
2244805
Title :
Anti-spoofing system for RFID access control combining with face recogntion
Author :
Jing, Bing-zhong ; Chan, Patrick P K ; Ng, Wing W Y ; Yeung, Daniel S.
Author_Institution :
Machine Learning & Cybern. Res. Center, Univ. of Technol., Guangzhou, China
Volume :
2
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
698
Lastpage :
703
Abstract :
RFID has been widely adopted in access control as an identity identification technology. This system can be combined with the face recognition technique to avoid the RFID is used by unauthorized people. However, this approach also suffers a drawback that someone may try to deceive the security system by presenting a photo of the real card owner. In this paper, we propose a method ensuring that such kind of spoof can be rejected. After a frontal face has been detected, the facial object will be tracked by optical flow algorithm until a profile is detected. Experimental results show that the proposed mechanism can improve the validity of the access control system effectively.
Keywords :
authorisation; face recognition; image sequences; radiofrequency identification; RFID access control; antispoofing system; face recogntion; identity identification technology; optical flow algorithm; security system; Access control; Computer vision; Detectors; Face; Image motion analysis; Optical imaging; Radiofrequency identification; Face recognition; RFID; adaboost; optical flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580562
Filename :
5580562
Link To Document :
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