Ear authentication using log-gabor wavelets

Ajay Kumar Pathak, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

20 Citations (Scopus)

Abstract

This paper investigates a new approach for human ear identification using holistic grey-level information. We employ Log-Gabor wavelets to extract the phase information, i.e. ear-codes, from the ID gray-level signals. Thus each ear is represented by a unique ear code or (phase template). The query ear images are compared with those in the database using Hamming distance. The minimum Hamming distance obtained from the rotation of ear template is used to authenticate the user. Our experiments on two different public ear databases achieve promising results and suggest its utility in ear-based authentication. This paper also illustrates that the phase information extracted from ear images can achieve significant performance improvement as compared to appearance-based approach employed in the literature.
Original languageEnglish
Title of host publicationBiometric Technology for Human Identification IV
Volume6539
DOIs
Publication statusPublished - 5 Nov 2007
EventBiometric Technology for Human Identification IV - Orlando, FL, United States
Duration: 9 Apr 200710 Apr 2007

Conference

ConferenceBiometric Technology for Human Identification IV
Country/TerritoryUnited States
CityOrlando, FL
Period9/04/0710/04/07

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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