Abstract:Face recognition systems have been widely deployed in various applications, such as online banking and mobile payment. However, these systems are vulnerable to face presentation attacks, which are created by people who obtain biometric data covertly from a person or through hacked systems. In order to detect these attacks, convolutional neural networks (CNN)‐based systems have gained significant popularity recently. CNN‐based systems perform very well on intra‐data set experiments, yet they fail to generalise … Show more
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