Automatic identity recognition from ear images represents an active field of research within
the biometric community. The ability to capture ear images from a distance and in a covert …

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 …

Automatic person identification from ear images is an active field of research within the
biometric community. Similar to other biometrics such as face, iris and fingerprints, ear also …

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 …

Biometrics has emerged as a major domain for security systems. Ear as a biometric has
many distinctive features which makes it promising for personal identification systems. In this …

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 …

Automated personal identification using the shape of the human ear is emerging as an
appealing modality in biometric and forensic domains. This is mainly due to the fact that the …

Ear based identity recognition subject to uncontrolled conditions such as illumination
changes, pose variation, low contrast, partial occlusion and noise, is an active research area …

Ear recognition technology has long been dominated by (local) descriptor-based techniques
due to their formidable recognition performance and robustness to various sources of image …

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 …