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Wonder ears: Identification of identical twins from ear images

  • Hossein Nejati*
  • , Li Zhang
  • , Terence Sim
  • , Elisa Martinez-Marroquin
  • , Guo Dong
  • *Corresponding author for this work

Research output: Book chapterConference contributionpeer-review

79 Citations (Scopus)

Abstract

While identical twins identification is a well known challenge in face recognition, it seems that no work has explored automatic ear recognition for identical twin identification. Ear image recognition has been studied for years, but Iannarelli (1989) appears to be the only work mentioning the twin identification (performed manually). We here explore the possibility of automatic twin identification from their ear images based on a psychological model for face recognition in humans, known as Exception Report Model (ERM). We test our approach on 39 pairs of identical twins (78 subjects), with several levels of resolution, occlusion, noise, left vs. right ear, and feature optimization which verifies the robustness of the introduced features.

Original languageEnglish
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages1201-1204
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: 11 Nov 201215 Nov 2012

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference21st International Conference on Pattern Recognition, ICPR 2012
Country/TerritoryJapan
CityTsukuba
Period11/11/1215/11/12

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