Background There is worldwide demand for an affordable hemoglobin measurement
solution, which is a particularly urgent need in developing countries. The smartphone, which …

In recent years, periocular recognition has been developed as a valuable biometric
identification approach, especially in wild environments (for example, masked faces due to …

Cloud computing is a technology that has gained rapid popularity in recent years. It has
enabled use of immense computational power in a scalable and cost-efficient manner …

Multimodal machine learning is a vibrant multi-disciplinary field and achieved much
attention due to its wide range of applications. A research problem is multimodal, for the …

In recent years, due to the emergence of deep learning, face recognition has achieved
exceptional success. However, many of these deep face recognition models perform …

In this paper, we propose a novel attribute-guided cross-resolution (low-resolution to high-
resolution) face recognition framework that leverages a coupled generative adversarial …

In this paper, we present a novel architecture that integrates a deep hashing framework with
a neural network decoder (NND) for application to face template protection. It improves upon …

Image quality is a key issue affecting the performance of biometric systems. Ensuring the
quality of iris images acquired in unconstrained imaging conditions in visible light poses …

Interaction with biofeedback provides exciting opportunities for elderly care because it
allows elderly physiological information to be used in novel interaction techniques …

Hyperspectral imaging systems collect and process information from specific wavelengths
across the electromagnetic spectrum. The fusion of multi-spectral bands in the visible …