The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

While first-generation mobile gaze interfaces required special-purpose hardware, recent
advances in computational gaze estimation and the availability of sensor-rich and powerful …

As face recognition progresses from constrained scenarios to unconstrained scenarios, new
challenges such as large pose, bad illumination, and partial occlusion, are encountered …

Existing convolutional neural network (CNN) based face recognition algorithms typically
learn a discriminative feature mapping, using a loss function that enforces separation of …

Multimodal biometrics technology consolidates information obtained from multiple sources
at sensor level, feature level, match score level, and decision level. It is used to increase …

Presentation attack detection is a challenging problem that aims at exposing an impostor
user seeking to deceive the authentication system. In facial biometrics systems, this kind of …

RGB-D face recognition has attracted increasing attentions in recent years because of its
robustness in unconstrained environment. However, existing approaches either handle …

While the existing quaternion principal component analysis (QPCA) is a linear tool
developed mainly for processing linear quaternion signals, the quaternion representation …

Face representation learning solutions have recently achieved great success for various
applications such as verification and identification. However, face recognition approaches …