ABSTRACT
ABSTRACT: An effective and efficient algorithm is proposed in this paper to distinguish the live face from fake face images in the bioinformatics authentication systems to improve the system reliability. By analyzing the spectrum distribution of the interested face region, fake faces which shown in LCD displays can be easily picked out from captured live faces. The good performance of the simulation results show that the proposed method is practical and is suitable to be implemented in live face recognition systems.
