Liveness detection is an important countermeasure against spoofing attacks on biometric authentication systems. In the context of audiovisual biometrics, synchrony detection is a proposed method for liveness confirmation. This paper presents a novel, text-dependent scheme for checking audiovisual synchronization in a video sequence. We present custom visual features learned using a unique deep learning framework and show that they outperform other commonly used visual features. We tested our

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... tem on two testing sets representing realistic spoofing attack approaches. On our mobile dataset of short video clips of people talking, we obtained equal error rates of 0.8% and 2.7% for liveness detection of photos and video attacks, respectively.