Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks

Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks

Abstract A hypothesis is discussed concerning the use of echograms of the external auditory canal for personal identification. The authors have developed a device for measuring the acoustic parameters of the external auditory canal. Obtained echograms can be used as biometric patterns for identifica...

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Bibliographic Details
Main Authors: Alexey Sulavko, Alexander Samotuga, Irina Kuprik
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:IET Biometrics
Subjects:
acoustic signal processing
authorisation
Bayes methods
biometrics (access control)
cepstral analysis
ear
Online Access:https://doi.org/10.1049/bme2.12037
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https://doi.org/10.1049/bme2.12037

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