Robust 2D Ear Registration and Recognition Based on SIFT Point Matching

John D. Bustard*, Mark S. Nixon

*Corresponding author for this work

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

37 Citations (Scopus)

Abstract

Significant recent progress has shown ear recognition to be a viable biometric. Good recognition rates have been demonstrated under controlled conditions, using manual registration or with specialised equipment. This paper describes a new technique which improves the robustness of ear registration and recognition, addressing issues of pose variation, background clutter and occlusion. By treating the ear as a planar surface and creating a homography transform using SIFT feature matches, ears can be registered accurately. The feature matches reduce the gallery size and enable a precise ranking using a simple 2D distance algorithm. When applied to the XM2VTS database it gives results comparable to PCA with manual registration. Further analysis on more challenging datasets demonstrates the technique to be robust to background clutter, viewing angles up to +/- 13 degrees and with over 20% occlusion.

Original languageEnglish
Title of host publication2008 IEEE SECOND INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY, APPLICATIONS AND SYSTEMS (BTAS)
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages7-12
Number of pages6
ISBN (Print)978-1-4244-2729-1
Publication statusPublished - 2008
Event2nd IEEE International Conference on Biometrics - Theory, Applications and Systems (BTAS 2008) - Washington, United Kingdom
Duration: 29 Sep 200801 Oct 2008

Conference

Conference2nd IEEE International Conference on Biometrics - Theory, Applications and Systems (BTAS 2008)
Country/TerritoryUnited Kingdom
Period29/09/200801/10/2008

Keywords

  • 3D
  • BIOMETRICS

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