Biometric technology is fast gaining pace as a veritable developmental tool. So far, biometric
procedures have been predominantly used to ensure identity and ear recognition …

The use of vision transformers (ViT) in computer vision is increasing due to its limited
inductive biases (eg, locality, weight sharing, etc.) and increased scalability compared to …

In October 2020, Google researchers present a promising Deep Learning architecture
paradigm for Computer Vision that outperforms the already standard Convolutional Neural …

Recognition using ear images has been an active field of research in recent years. Besides
faces and fingerprints, ears have a unique structure to identify people and can be captured …

In recent years, biometric recognition patterns have attracted the attention of many
researchers, among which human ears, as a unique and stable biometric feature, have …

In the pandemic of COVID-19, identifying a person from their face became difficult due to
wearing of mask. In regard to the given circumstances, the authors have remarkably put …

Biometrics plays a significant role in many sectors of modern society, like banking
transactions, person identification, and surveillance. The ear is used as a biometric trait …

Automatic recognition using ear images is an active area of interest within the biometrics
community. Human ears are a stable and reliable source of information since they are not …

Using the ear as a biometric identifier, particularly for children in healthcare settings, has an
important advantage over using the face-the privacy of the person can be protected better …

Fingerprint recognition systems are highly dependent on the quality and accuracy of the
fingerprint representation. Traditional fingerprint recognition algorithms often employ …