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A Survey on Ear Biometrics

A Survey on Ear Biometrics
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 problems associated with other non contact biometrics, such as face recognition; second, it is the most promising candidate for combination with the face in the context of multi-pose face recognition; and third, the ear can be used for human recognition in surveillance videos where the face may be occluded completely or in part. Further, the ear appears to degrade little with age. Even though, current ear detection and recognition systems have reached a certain level of maturity, their success is limited to controlled indoor conditions. In addition to variation in illumination, other open research problems include hair occlusion; earprint forensics; ear symmetry; ear classification; and ear individuality. This paper provides a detailed survey of research conducted in ear detection and recognition. It provides an up-to-date review of the existing literature revealing the current state-of-art for not only those who are working in this area but also for those who might exploit this new approach. Furthermore, it offers insights into some unsolved ear recognition problems as well as ear databases available for researchers.
Biometrics, Ear recognition/detection, Earprints, Person verification/identification
22:1-22:35
Abaza, Ayman
a21751ab-2237-46f9-9574-d70468689f90
Ross, Arun
491e934a-5977-4e6b-9e64-50cacced6a19
Hebert, Christina
de1517be-ef40-49c8-adf3-811e0de2f1a7
Harrison, Mary Ann F.
3ba5ac56-f5bd-4fc0-a821-7e25194f8283
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Abaza, Ayman
a21751ab-2237-46f9-9574-d70468689f90
Ross, Arun
491e934a-5977-4e6b-9e64-50cacced6a19
Hebert, Christina
de1517be-ef40-49c8-adf3-811e0de2f1a7
Harrison, Mary Ann F.
3ba5ac56-f5bd-4fc0-a821-7e25194f8283
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Abaza, Ayman, Ross, Arun, Hebert, Christina, Harrison, Mary Ann F. and Nixon, Mark (2013) A Survey on Ear Biometrics. ACM Computing Surveys, 45 (2), 22:1-22:35.

Record type: Article

Abstract

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 problems associated with other non contact biometrics, such as face recognition; second, it is the most promising candidate for combination with the face in the context of multi-pose face recognition; and third, the ear can be used for human recognition in surveillance videos where the face may be occluded completely or in part. Further, the ear appears to degrade little with age. Even though, current ear detection and recognition systems have reached a certain level of maturity, their success is limited to controlled indoor conditions. In addition to variation in illumination, other open research problems include hair occlusion; earprint forensics; ear symmetry; ear classification; and ear individuality. This paper provides a detailed survey of research conducted in ear detection and recognition. It provides an up-to-date review of the existing literature revealing the current state-of-art for not only those who are working in this area but also for those who might exploit this new approach. Furthermore, it offers insights into some unsolved ear recognition problems as well as ear databases available for researchers.

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More information

Accepted/In Press date: February 2013
Published date: February 2013
Keywords: Biometrics, Ear recognition/detection, Earprints, Person verification/identification
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 272951
URI: https://eprints.soton.ac.uk/id/eprint/272951
PURE UUID: 5d9f579a-2830-4ca6-9b7d-a950b8e938fd
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 20 Oct 2011 16:11
Last modified: 06 Jun 2018 13:18

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Contributors

Author: Ayman Abaza
Author: Arun Ross
Author: Christina Hebert
Author: Mary Ann F. Harrison
Author: Mark Nixon ORCID iD

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