The unconstrained ear recognition challenge

Žiga Emeršič, Dejan Štepec, Vitomir Štruc, Peter Peer, Anjith George, Adii Ahmad, Elshibani Omar, Terranee E. Boult, Reza Safdaii, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye I. Eyiokur, Hazim K. Ekenel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 from ear images captured in uncontrolled conditions. The goal of the challenge was to assess the performance of existing ear recognition techniques on a challenging large-scale dataset and identify open problems that need to be addressed in the future. Five groups from three continents participated in the challenge and contributed six ear recognition techniques for the evaluation, while multiple baselines were made available for the challenge by the UERC organizers. A comprehensive analysis was conducted with all participating approaches addressing essential research questions pertaining to the sensitivity of the technology to head rotation, flipping, gallery size, large-scale recognition and others. The top performer of the UERC was found to ensure robust performance on a smaller part of the dataset (with 180 subjects) regardless of image characteristics, but still exhibited a significant performance drop when the entire dataset comprising 3,704 subjects was used for testing.

Original languageEnglish (US)
Title of host publicationIEEE International Joint Conference on Biometrics, IJCB 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages715-724
Number of pages10
ISBN (Electronic)9781538611241
DOIs
StatePublished - Jul 1 2017
Event2017 IEEE International Joint Conference on Biometrics, IJCB 2017 - Denver, United States
Duration: Oct 1 2017Oct 4 2017

Publication series

NameIEEE International Joint Conference on Biometrics, IJCB 2017
Volume2018-January

Conference

Conference2017 IEEE International Joint Conference on Biometrics, IJCB 2017
Country/TerritoryUnited States
CityDenver
Period10/1/1710/4/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation
  • Signal Processing
  • Biomedical Engineering

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