A person's facial hairstyle, such as presence and size of beard, can
sig...
Machine learning models have shown increased accuracy in classification ...
The performance of convolutional neural networks has continued to improv...
Research in presentation attack detection (PAD) for iris recognition has...
Face image synthesis has progressed beyond the point at which humans can...
In this article, we analyze how changing the underlying 3D shape of the ...
Forensic iris recognition, as opposed to live iris recognition, is an
em...
Iris recognition of living individuals is a mature biometric modality th...
Can deep learning models achieve greater generalization if their trainin...
Advances in face synthesis have raised alarms about the deceptive use of...
Deep learning has driven remarkable accuracy increases in many computer
...
Face detection is a crucial first step in many facial recognition and fa...
Remote photoplethysmography (rPPG) is a known family of techniques for
m...
Launched in 2013, LivDet-Iris is an international competition series ope...
Modern deep learning techniques can be employed to generate effective fe...
Gabor kernels are widely accepted as dominant filters for iris recogniti...
A dramatic rise in the flow of manipulated image content on the Internet...
Many recent news headlines have labeled face recognition technology as b...
Images from social media can reflect diverse viewpoints, heated argument...
This paper offers three new, open-source, deep learning-based iris
segme...
The adoption of large-scale iris recognition systems around the world ha...
Predicting gender from iris images has been reported by several research...
Iris recognition is used in many applications around the world, with
enr...
Departing from traditional digital forensics modeling, which seeks to an...
Deriving relationships between images and tracing back their history of
...
Predicting a person's gender based on the iris texture has been explored...