  In this work, we propose a method to simultaneously perform (i) biometric
recognition (i.e., identify the individual), and (ii) device recognition,
(i.e., identify the device) from a single biometric image, say, a face image,
using a one-shot schema. Such a joint recognition scheme can be useful in
devices such as smartphones for enhancing security as well as privacy. We
propose to automatically learn a joint representation that encapsulates both
biometric-specific and sensor-specific features. We evaluate the proposed
approach using iris, face and periocular images acquired using near-infrared
iris sensors and smartphone cameras. Experiments conducted using 14,451 images
from 15 sensors resulted in a rank-1 identification accuracy of upto 99.81% and
a verification accuracy of upto 100% at a false match rate of 1%.
