Transient Otoacoustic Emissions for biometric recognition

Jiexin Gao,Foteini Agrafioti,Siyuan Wang,Dimitrios Hatzinakos

ICASSP（2012）

引用 14|浏览7

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摘要

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.

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关键词

transient otoacoustic emissions,signal processing,biometric recognition,statistical analysis,biometrics,teoae,bivariate empirical mode decomposition,bemd,biometrics (access control),transient otoacoustic emission,empirical mode decomposition,authorisation,otoacoustic emissions,multiresolution decomposition,noise,correlation,stability analysis

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