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Continuous face authentication scheme for mobile devices with tracking and liveness detection

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Academic year: 2019

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Figure

Fig. 1: The framework of our proposed continuous facial au-thentication scheme.
Fig. 2: This image shows the process taken to perform a face liveness detection test. In this scenario, the attacker has both a printedpicture of the genuine user and a picture on a mobile device of the genuine user.
Fig. 4: Examples from MSU MFSD database. In the top row, samples from attack scenarios
TABLE 1: The evaluation metrics for liveness detection when different feature extraction techniques are used on different facialattributes taken from faces detected in the MSU and CALF datasets.
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