%0 Journal Article
	%A Hyung-Keun Jee and  Sung-Uk Jung and  Jang-Hee Yoo
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 18, 2008
	%T Liveness Detection for Embedded Face Recognition System
	%U https://publications.waset.org/pdf/5308
	%V 18
	%X To increase reliability of face recognition system, the
system must be able to distinguish real face from a copy of face such
as a photograph. In this paper, we propose a fast and memory efficient
method of live face detection for embedded face recognition system,
based on the analysis of the movement of the eyes. We detect eyes in
sequential input images and calculate variation of each eye region to
determine whether the input face is a real face or not. Experimental
results show that the proposed approach is competitive and promising
for live face detection.
	%P 2142 - 2145