Biometric-based human authentication can provide acceptable level of security to mobile devices such as a tablets and smartphones. Face is one of the most popular choices for biometrics on mobile device since the user can conveniently capture his face image by taking a selfie. Like any other security system, selfie face recognition is also vulnerable to attacks wherein an imposter can present photograph of a genuine user to gain an access to the mobile device. Liveness detection is an essential counter-measure to spoof attacks. In adverse scenarios, an attacker can physically force the user to provide his facial image to unlock the phone. In such cases, facial expression detection can act as a counter-measure. This chapter investigates face-based human recognition techniques on mobile devices and highlight methods having liveness and threat awareness.
CITATION STYLE
Arora, G., Tiwari, K., & Gupta, P. (2019). Liveness and threat aware selfie face recognition. In Advances in Computer Vision and Pattern Recognition (pp. 197–210). Springer London. https://doi.org/10.1007/978-3-030-26972-2_9
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