Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

Face anti‐spoofing is critical to prevent face recognition systems from a security breach. The
biometrics community has achieved impressive progress recently due to the excellent …

In this paper, we present a sparse correntropy framework for computing robust sparse
representations of face images for recognition. Compared with the state-of-the-art l 1 norm …

In recent years, heterogeneous face biometrics has attracted more attentions in the face
recognition community. After published in 2009, the HFB database [7] has been applied by …

Cross-modality face recognition is an emerging topic due to the wide-spread usage of
different sensors in day-to-day life applications. The development of face recognition …

In this paper, we propose a context-aware local binary feature learning (CA-LBFL) method
for face recognition. Unlike existing learning-based local face descriptors such as …

Automatic face photo-sketch recognition has important applications for law enforcement.
Recent research has focused on transforming photos and sketches into the same modality …

Numerous methods have been developed for holistic face recognition with impressive
performance. However, few studies have tackled how to recognize an arbitrary patch of a …

Surveillance cameras today often capture NIR (near infrared) images in low-light
environments. However, most face datasets accessible for training and verification are only …

This work tackles the face recognition task on images captured using thermal camera
sensors which can operate in the non-light environment. While it can greatly increase the …