Title :
Transient Otoacoustic Emissions for biometric recognition
Author :
Gao, Jiexin ; Agrafioti, Foteini ; Wang, Siyuan ; Hatzinakos, Dimitrios
Author_Institution :
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
This paper investigates the potential use of Transient Otoacoustic Emissions (TEOAE) for biometric recognition. Multiresolution decomposition of TEOAE is done by a modified Bivariate EmpiricalMode Decomposition (BEMD) combined with an auditory model. Matching scores are computed by combining ranked correlations across different levels. Recognition rate with recording from left ear is 96.30% and can be improved to 98.15% by utilizing a matching score fusion with information from right ear.
Keywords :
authorisation; biometrics (access control); otoacoustic emissions; signal processing; statistical analysis; BEMD; TEOAE; biometric recognition; bivariate empirical mode decomposition; multiresolution decomposition; transient otoacoustic emissions; Biological system modeling; Correlation; Ear; Educational institutions; Noise; Stability analysis; Transient analysis; Biometrics; Empirical Mode Decomposition; Transient Otoacoustic Emission;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288361
