Diabetes mellitus and its complication such as heart disease, stroke, kidney failure, etc. is a
serious concern all over the world. Hence, monitoring some important blood parameters non …

Multispectral images contain rich recognition information since the multispectral camera can
reveal information that is not visible to the human eye or to the conventional RGB camera …

Face recognition technology is spreading into a wide range of applications. This is mainly
driven by social acceptance and the performance boost achieved by the deep learning …

Gender classification based on the facial characteristic, has been widely studied in the
literature across visible and near infrared spectrum. In this paper, we explore the …

Monitoring blood glucose non‐invasively is utmost important with good accuracy. Here, we
developed a blood glucose monitoring system with 5‐fixed LED wavelengths in Near …

The automatic prediction of gender from the face has been studied extensively because of
its potential relevance in numerous applications related to security. Although the problem of …

Hyperspectral imaging systems are well established, for satellite, remote sensing and
geosciences applications. Recently, the reduction in the cost of hyperspectral sensors and …

With the availability of sensor technology across the broad electromagnetic spectrum, multi-
spectral imaging is increasingly used in biometric systems. Especially for face recognition …

The presence of eyeglasses can significantly challenge the ocular recognition accuracy. The
result of which glass detection is one of the preliminary step required in automatic biometric …

Monitoring of blood glucose levels is of utmost importance due to the high incidence of
diabetes in our society. There is a need for a non-invasive method that is cost-effective and …