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
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;
Conference_Titel :
Automatic Identification Advanced Technologies, 2005. Fourth IEEE Workshop on
Print_ISBN :
0-7695-2475-3
DOI :
10.1109/AUTOID.2005.11
