Face recognition is a mainstream biometric authentication method. However, the
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …

Matching hand-drawn sketches with photos (aka sketch-photo recognition or re-
identification) faces the information asymmetry challenge due to the abstract nature of the …

Face recognition has evolved as a widely used biometric modality. However, its vulnerability
against presentation attacks poses a significant security threat. Though presentation attack …

This paper addresses the problem of face presentation attack detection using different
image modalities. In particular, the usage of short wave infrared (SWIR) imaging is …

Multispectral images are images with more than one channel acquired in different bands or
spectral ranges of the electromagnetic spectrum. Each one has specific details that can be …

Besides the many advances made in the facial detection and recognition fields, face
recognition applied to visual images (VIS-FR) has received increasing interest in recent …

Most multi-modal biometric systems use multiple devices to capture different traits and
directly fuse multi-modal data while ignoring correlation information between modalities. In …

This article studies an emerging practical problem called heterogeneous prototype learning
(HPL). Unlike the conventional heterogeneous face synthesis (HFS) problem that focuses on …

The availability of large-scale face datasets has been key in the progress of face recognition.
However, due to licensing issues or copyright infringement, some datasets are not available …

Heterogeneous Face Recognition (HFR) refers to matching face images captured in different
domains, such as thermal to visible images (VIS), sketches to visible images, near-infrared …