Transient Otoacoustic Emissions for biometric recognition

Transient Otoacoustic Emissions for biometric recognition

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...

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Hauptverfasser: Jiexin Gao, Agrafioti, F., Siyuan Wang, Hatzinakos, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biological system modeling
Biometrics
Correlation
Ear
Educational institutions
Empirical Mode Decomposition
Noise
Stability analysis
Transient analysis
Transient Otoacoustic Emission
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Beschreibung
Zusammenfassung: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2012.6288361