A comparison of verification in the temporal and cepstrum-transformed domains of transient evoked otoacoustic emissions for biometric identification


Chambers, P., Grabham, N.J., Swabey, M.A., Lutman, M.E., White, N.M., Chad, J.E. and Beeby, S.P. (2011) A comparison of verification in the temporal and cepstrum-transformed domains of transient evoked otoacoustic emissions for biometric identification. International Journal of Biometrics, 3, (3), 246-264. (doi:10.1504/IJBM.2011.040818 ).

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Description/Abstract

An investigation of methods for the use of Transient Evoked Otoacoustic Emissions (TEOAE) as an identification biometric is described in this paper. The results build upon advances in the field of otoacoustics to show that otoacoustic emissions are clearly distinctive and, hence, can be utilized as an identification biometric. Three contending methods of analysis to calculate the Euclidean distance separating individuals are described which are: Interpretation of the area-under-the-curve information from the time series TEOAE data; A measurement of the distance between a TEOAE recording in the temporal domain and a user template based upon averaging prior recorded data; A measurement of the distance between a TEOAE recording transformed into the cepstral domain and a user template based upon averaging cepstral transformed prior recorded data. False acception and rejection rates are given for the above techniques when applied to sets of test data recorded from test groups. In this study the best performance has been achieved using an Euclidian distance analysis in the temporal domain, which has yielded a false accept rate (FAR) of 1.27% and a false rejection rate (FRR) of 0 when applied to a data set consisting of a total of 230 recordings from 23 different subjects.

Item Type: Article
ISSNs: 1755-8301 (print)
1755-831X (electronic)
Keywords: biometric identification, otoacoustic emissions, ear, biometrics, security, identification, verification
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: University Structure - Pre August 2011 > Institute of Sound and Vibration Research > Human Sciences
University Structure - Pre August 2011 > School of Biological Sciences
University Structure - Pre August 2011 > School of Electronics and Computer Science
ePrint ID: 185575
Date Deposited: 10 May 2011 14:14
Last Modified: 28 Mar 2014 15:24
Projects:
Otoacoustic Emission Based Biometric Systems
Funded by: EPSRC (EP/E015522/1)
Led by: Stephen Paul Beeby
1 January 2007 to 30 June 2010
URI: http://eprints.soton.ac.uk/id/eprint/185575

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