Human ear recognition from face profile images

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

46 Scopus citations

Abstract

In this paper, we present a novel system for ear identification from profile images of the face. The system has two steps. In the first step, the ear is automatically detected from the profile image of the face. In the second step, the ear image is transformed to a force field, then feature points are extracted and the best match is found from a database. We propose a method based on differential geometry to extract ear feature points. We use a transformation of the ear image to make it suitable for extracting the feature points using differential geometry. During recognition, the feature points obtained from a query image are aligned and compared with those in the database using Hausdorff distance. The experimental results show that our method is effective.

Original languageEnglish (US)
Title of host publicationAdvances in Biometrics - International Conference, ICB 2006, Proceedings
Pages786-792
Number of pages7
StatePublished - Jun 15 2006
EventInternational Conference on Biometrics, ICB 2006 - Hong Kong, China
Duration: Jan 5 2006Jan 7 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3832 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Biometrics, ICB 2006
CountryChina
CityHong Kong
Period1/5/061/7/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Abdel-Mottaleb, M., & Zhou, J. (2006). Human ear recognition from face profile images. In Advances in Biometrics - International Conference, ICB 2006, Proceedings (pp. 786-792). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).