Deep learning applies multiple processing layers to learn representations of data with
multiple levels of feature extraction. This emerging technique has reshaped the research …

Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

Applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL)
started to gain popularity in plastic surgical procedure analysis and predictive work with …

Artificial Intelligence (AI) has seamlessly integrated into numerous scientific domains,
catalysing unparalleled enhancements across a broad spectrum of tasks; however, its …

In recent decades, we have witnessed the evolution of biometric technology from the first
pioneering works in face and voice recognition to the current state of development wherein a …

The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

Cross-modality face recognition is an emerging topic due to the wide-spread usage of
different sensors in day-to-day life applications. The development of face recognition …

This paper presents two new approaches to improve the performance of palm-vein-based
identification systems presented in the literature. The proposed approach attempts to more …

The matching performance of automated face recognition has significantly improved over
the past decade. At the same time several challenges remain that significantly affect the …

The widespread deployment of Automated Fingerprint Identification Systems (AFIS) in law
enforcement and border control applications has heightened the need for ensuring that …