DETECTION OF PRINTED FALSE ATTACKS USING NEURAL NETWORKS
Keywords:
biometric system, false alarm attack, local binary pattern, support vector machine, convolutional neural networks, recurrent network, classification evaluation metricsAbstract
This article discusses a method for detecting false positives against a biometric facial recognition system based on deep convolutional neural networks. The proposed method is designed to detect printed false positives and is tested on open databases of real and fake faces, and the results are analyzed. The types of false positive attacks launched against a biometric system based on existing faces are analyzed.
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