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

fYear

2012

fDate

25-30 March 2012

Firstpage

2249

Lastpage

2252

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288361

Filename

6288361