A human face liveness detection method based on polarization imaging, comprising the steps of: collecting, at a plurality of angles in real time, polarization images of a target to be detected; and performing polarization analysis on the polarization images by using a polarization human face feature learning and classification network model based on a Siamese neural network structure, so as to recognize that the target to be detected is real or fake. The method uses a non-contact real time detection means, does not require active cooperation of a user, and can implement accurate detection even in a user non-cooperation state, thereby having good user experience.
HUMAN FACE LIVENESS DETECTION METHOD BASED ON POLARIZATION IMAGING