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A survey on ear biometrics

Abaza, Ayman, Ross, Arun, Hebert, Christina, Harrison, Mary Ann F., Nixon, Mark S.·2013·ACM Computing Surveys
DOI 10.1145/2431211.2431221
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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 article 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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Metadata

Authors
Abaza, A., Ross, A., Hebert, C., Harrison, M. A. F., & Nixon, M. S.
Affiliations
  • WVHTC Foundation, Fairmont, WV
  • West Virginia University, Morgantown, WV
  • University of Southampton, Southampton, UK
Venue
ACM Computing Surveys
Publisher
Association for Computing Machinery (ACM)
Published
2013-02
Volume
45
Issue
2
Pages
1-35
ISSN
  • 0360-0300
  • 1557-7341
DOI
10.1145/2431211.2431221
Cited by
178
References
1
Language
en
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Funders
  • Division of Information and Intelligent Systems (IIS-0642554)
  • Biomedical Engineering Department at Cairo University
  • Office of Naval Research

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