Alzheimer's Disease (AD) is a devastating neurodegenerative brain disorder with no cure.
An early identification helps patients with AD sustain a normal living. We have outlined …

The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

Research on biometric methods has gained momentum due to the increase in security
concerns. Face and gait biometrics are two biometrics that are safe and non-invasive in …

Pedestrian detection and monitoring in a surveillance system are critical for numerous utility
areas which encompass unusual event detection, human gait, congestion or crowded …

Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

In recent years, multimodal biometric systems have gained significant attention due to their
capacity to enhance recognition accuracy and robustness. The integration of multiple …

The extensive research in the field of multimodal biometrics by the research community and
the advent of modern technology has compelled the use of multimodal biometrics in real life …

A key frame is a representative frame which includes the whole facts of the video collection.
It is used for indexing, classification, evaluation, and retrieval of video. The existing …

Iris recognition is a challenging problem in the noisy environment. Our primary focus is to
develop the reliable iris recognition system that can work in a noisy imaging environment …

The aim of this work is to propose a new feature and score fusion based iris recognition
approach where voting method on Multiple Classifier Selection technique has been applied …