Acoustic ear recognition for person identification

  title={Acoustic ear recognition for person identification},
  author={Anton H. M. Akkermans and Tom A. M. Kevenaar and Daniel W. E. Schobben},
  journal={Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05)},
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. 
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