• DocumentCode
    2582344
  • Title

    Acoustic ear recognition for person identification

  • Author

    Akkermans, A.H.M. ; Kevenaar, T.A.M. ; Schobben, D.W.E.

  • Author_Institution
    Philips Res., Eindhoven, Netherlands
  • fYear
    2005
  • fDate
    17-18 Oct. 2005
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    In this paper we investigate how the acoustic properties of the pinna-i.e., the outer flap of the ear- and the ear canal can be used as a biometric. The acoustic properties can be measured relatively easy with an inexpensive sensor and feature vectors can be derived with little effort. We achieve equal error rates in the order of 1.5%-7%, depending on the application device that is used to do the measurement.
  • Keywords
    acoustic signal processing; ear; error statistics; face recognition; feature extraction; fingerprint identification; acoustic ear recognition; biometric person identification; ear canal; equal error rate; feature vector; inexpensive sensor; Acoustic devices; Acoustic measurements; Biometrics; Ear; Fingerprint recognition; Irrigation; Loudspeakers; Resonance; Shape; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Identification Advanced Technologies, 2005. Fourth IEEE Workshop on
  • Print_ISBN
    0-7695-2475-3
  • Type

    conf

  • DOI
    10.1109/AUTOID.2005.11
  • Filename
    1544428