Palm vein recognition is a high-security biometric. Outside the NIR capture box and
contactless palm vein recognition are more popular but challenging. The users feel …

Palmprint recognition has attracted considerable attention due to its advantages over other
biometric modalities such as fingerprints, in that it is larger in area, richer in information and …

Encryption of medical images is an essential component of the overall security infrastructure
of the healthcare industry. Within the current context of digital technology for the storage …

Biometric recognition has been an inseparable part of security and authorization. In the last
decade, palm-print has been widely used in security access and person authentication …

This research provides an extensive analysis of the integration of palm vein and palm print
features as multimodal biometrics to enhance secure authentication. The use of palm vein …

With growing concerns about security breaches and transaction fraud, reliable and
convenient personal identification and verification technologies are increasingly demanded …

The detection of human features can be achieved using various techniques. There are many
demerits in the detection and in the process of maintaining the forensic tasks. So the …

This paper presents a deep learning based ECG (electrocardiogram) signal conversion
method between two different ECG measuring devices. A low-cost portable device causes a …

Deep learning is based on neural networks, and deep learning is currently applied to
various fields such as medical, health, and autonomous driving. The electrocardiogram is a …