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A survey on ear biometrics

Published: 12 March 2013 Publication History

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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    cover image ACM Computing Surveys
    ACM Computing Surveys  Volume 45, Issue 2
    February 2013
    417 pages
    ISSN:0360-0300
    EISSN:1557-7341
    DOI:10.1145/2431211
    Issue’s Table of Contents
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    Publication History

    Published: 12 March 2013
    Accepted: 01 October 2011
    Revised: 01 October 2011
    Received: 01 March 2011
    Published in CSUR Volume 45, Issue 2

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    Author Tags

    1. Biometrics
    2. ear recognition/detection
    3. earprints
    4. person verification/identification

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