Method of False Attack Detection based on Neural Networks

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The paper proposes a method for detecting a situation in which, during facial authentication, one person disguises himself as another by replacing his face with a photograph or a displayed video. The facial feature vector is extracted using a convolutional neural network, classification is implemented using a support vector machine, and the method can be fed with either a single frame or a group of frames as input.