… deep models. The experiments are first done with separate models trained for each face and
iris biometric; … directly from the data using deep representations to assist in the task of PAD. …

… to exploit both deep and wide features for face spoofing detection, as shown in Fig. 2. The
deep channel leverages a CNN architecture to extract discriminative patterns of spoofing from …

… Although face spoof detection techniques are being developed for a … face spoof detection
from 2015. So, in this paper, we will discuss various technologies used for face spoof detection …

… In this paper, we have proposed a deep learning architecture to identify and detect different
kinds of spoofing attacks that are possible in an iris recognition system. It is seen that with the …

… In this work, we propose a novel deep learning framework for detection of spoofing in
faces during biometric authentication. This would ensure more effective learning of spoofed …

… In this work, we propose a novel method for fingerprint spoofing detection using the Deep
Boltzmann Machines (DBM) for extraction of high-level features from the images. Such deep …

… biometric systems need to be protected against attackers. In this paper, a novel method is
proposed to detect spoof … on deep learning and Image Quality Measure (IQM) techniques to …

… The authors demonstrate that the method can detect both face and iris presentation attacks.
… Verdoliva, “Biometric spoofing detection by a domain-aware convolutional neural network,” …

… In this paper, we have proposed a model of biometric authentication based on face spoofing,
facial expression, age, and gender detection which can be used in various places, but is …

… deep learning presentation attack detection, spoof attack detection using deep learning,
and anti-spoofing deep learning methods for biometric finger vein, fingerprint, iris, and face …