A survey on ear biometrics

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 01, 2013
Source ID
10.1145/2431211.2431221

Entities

People

  • Arun Ross
  • Ayman Abaza
  • Christina Hebert
  • Mark S. Nixon
  • Mary Ann F. Harrison

Organizations

  • Division of Information and Intelligent Systems
  • Office of Naval Research
  • University of Southampton
  • West Virginia University

Tags

Readers

  • Acoustics.
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML