Ear recognition: More than a survey
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 …
the biometric community. The ability to capture ear images from a distance and in a covert …
Unimodal and multimodal biometric sensing systems: a review
MO Oloyede, GP Hancke - IEEE access, 2016 - ieeexplore.ieee.org
Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …
physiological or behavioral features. These features can be categorized into unimodal and …
Automated human identification using ear imaging
This paper investigates a new approach for the automated human identification using 2D
ear imaging. We present a completely automated approach for the robust segmentation of …
ear imaging. We present a completely automated approach for the robust segmentation of …
Access control through multifactor authentication with multimodal biometrics
H Beigi - US Patent 10,042,993, 2018 - Google Patents
A system is provided in which a person may use a Cellular (Mobile) Telephone, a PDA or
any other handheld computer to make a purchase. This is an example only. The process …
any other handheld computer to make a purchase. This is an example only. The process …
Ear biometrics: a survey of detection, feature extraction and recognition methods
The possibility of identifying people by the shape of their outer ear was first discovered by
the French criminologist Bertillon, and refined by the American police officer Iannarelli, who …
the French criminologist Bertillon, and refined by the American police officer Iannarelli, who …
A survey on ear biometrics
Recognizing people by their ear has recently received significant attention in the literature.
Several reasons account for this trend: first, ear recognition does not suffer from some …
Several reasons account for this trend: first, ear recognition does not suffer from some …
A comprehensive survey on ear recognition: databases, approaches, comparative analysis, and open challenges
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 …
community. The ability to secretly acquire images of the ear remotely and the stability of the …
Unconstrained ear recognition using deep neural networks
The authors perform unconstrained ear recognition using transfer learning with deep neural
networks (DNNs). First, they show how existing DNNs can be used as a feature extractor …
networks (DNNs). First, they show how existing DNNs can be used as a feature extractor …
Robust ear identification using sparse representation of local texture descriptors
Automated personal identification using localized ear images has wide range of civilian and
law-enforcement applications. This paper investigates a new approach for more accurate …
law-enforcement applications. This paper investigates a new approach for more accurate …
The unconstrained ear recognition challenge
In this paper we present the results of the Unconstrained Ear Recognition Challenge
(UERC), a group benchmarking effort centered around the problem of person recognition …
(UERC), a group benchmarking effort centered around the problem of person recognition …