The face and gesture recognition network (FG‐NET) ageing database was released in 2004
in an attempt to support research activities aimed at understanding the changes in facial …

Heterogeneous face recognition (HFR) refers to matching face imagery across different
domains. It has received much interest from the research community as a result of its …

Applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL)
started to gain popularity in plastic surgical procedure analysis and predictive work with …

Heterogeneous face recognition (HFR) involves matching two face images from alternate
imaging modalities, such as an infrared image to a photograph or a sketch to a photograph …

Heterogeneous face recognition (HFR) refers to matching cross-domain faces and plays a
crucial role in public security. Nevertheless, HFR is confronted with challenges from large …

One of the important cues in solving crimes and apprehending criminals is matching
sketches with digital face images. This paper presents an automated algorithm to extract …

Face verification, though for humans seems to be an easy task, is a long-standing research
area. With challenging covariates such as disguise or face obfuscation, automatically …

This paper aims to conduct a comprehensive study on facial-sketch synthesis (FSS).
However, due to the high cost of obtaining hand-drawn sketch datasets, there is a lack of a …

Widespread acceptability and use of biometrics for person authentication has instigated
several techniques for evading identification. One such technique is altering facial …

Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …