Abstract Recent years Vision Transformers (ViTs) have gained significant attention in the
field of computer vision for their impressive performance in various tasks, including image …

The transfer learning and deep convolutional neural network-based recognition models
have been merged to develop an efficient model in the contemporary time. The ear …

Biometric identity recognition, capitalizing on unique physical attributes, represents an
increasingly explored research field within the biometrics community, with implications …

Occluded ear recognition is a challenging task in biometric systems due to the presence of
occlusions that can hinder accurate identification. There is still a research gap in enhancing …

Person identification using their ear images has received significant attention by the
researcher recently. Transfer learning provides an effective platform to build an efficient …