Automatic identity recognition from ear images is an active research topic in the biometric
community. The ability to secretly acquire images of the ear remotely and the stability of the …

Human recognition with biometrics is a rapidly emerging area of computer vision. Compared
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …

Identity recognition using local features extracted from ear images has recently attracted a
great deal of attention in the intelligent biometric systems community. The rich and reliable …

Person identifications using the ear-based biometric system has become quite popular in
recent year due to increasing demands in security and surveillance applications. With …

Combining multiple human trait features is a proven and effective strategy for biometric‐
based personal identification. In this study, the authors investigate the fusion of two biometric …

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 …

As one of the most important biometrics, ear biometrics is getting more and more attention.
Ear recognition has unique advantages and can make identification more secure and …

This paper presents a comprehensive review of Automatic Facial Recognition Systems
using integrative and systematic map** approach. The review is grounded on criteria …

Ear recognition is a new biometric technology that competes with well-known biometric
modalities such as fingerprint, face and iris. However, this modality suffers from common …

Anti-spoof touchless imaging of human ear has strong potential to be a useful alternative to
traditional biometric sensors. The features in a human ear are more reliable than other …