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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| creator | Jiexin Gao Agrafioti, F. Siyuan Wang Hatzinakos, D. |
| description | 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. |
| doi_str_mv | 10.1109/ICASSP.2012.6288361 |
| format | Conference Proceeding |
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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.</description><subject>Biological system modeling</subject><subject>Biometrics</subject><subject>Correlation</subject><subject>Ear</subject><subject>Educational institutions</subject><subject>Empirical Mode Decomposition</subject><subject>Noise</subject><subject>Stability analysis</subject><subject>Transient analysis</subject><subject>Transient Otoacoustic Emission</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>1467300454</isbn><isbn>9781467300452</isbn><isbn>9781467300469</isbn><isbn>1467300446</isbn><isbn>9781467300445</isbn><isbn>1467300462</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UNtKAzEUjDdwrfsFfdkf2DUn2dwepdQLFCq0gm8lu3siEbuRJD749was8zIwwwzDELIE2gFQc_e8ut_tXjpGgXWSac0lnJHaKA29VJzSXppzUjGuTAuGvl2Qm39D9JekAsFoK6E316RO6YMWlCjlsiJmH-2cPM652eZgx_Cdsh-b9dGn5MOcGhdiM_hwxByLHnEM77PPxbolV85-JqxPvCCvD-v96qndbB_L3k3rQYncTmWQQIOMMcrZ2FPkUgLXZhhQAUU32MGA1ZyxSYBRwjo7SQschXZGOr4gy79ej4iHr-iPNv4cTi_wX7HhTL8</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Jiexin Gao</creator><creator>Agrafioti, F.</creator><creator>Siyuan Wang</creator><creator>Hatzinakos, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201203</creationdate><title>Transient Otoacoustic Emissions for biometric recognition</title><author>Jiexin Gao ; Agrafioti, F. ; Siyuan Wang ; Hatzinakos, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-d1905e9e222032c40e3661389bbe710efbab91a8322d51975afad6a13e58f96f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Biological system modeling</topic><topic>Biometrics</topic><topic>Correlation</topic><topic>Ear</topic><topic>Educational institutions</topic><topic>Empirical Mode Decomposition</topic><topic>Noise</topic><topic>Stability analysis</topic><topic>Transient analysis</topic><topic>Transient Otoacoustic Emission</topic><toplevel>online_resources</toplevel><creatorcontrib>Jiexin Gao</creatorcontrib><creatorcontrib>Agrafioti, F.</creatorcontrib><creatorcontrib>Siyuan Wang</creatorcontrib><creatorcontrib>Hatzinakos, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jiexin Gao</au><au>Agrafioti, F.</au><au>Siyuan Wang</au><au>Hatzinakos, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Transient Otoacoustic Emissions for biometric recognition</atitle><btitle>2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</btitle><stitle>ICASSP</stitle><date>2012-03</date><risdate>2012</risdate><spage>2249</spage><epage>2252</epage><pages>2249-2252</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>1467300454</isbn><isbn>9781467300452</isbn><eisbn>9781467300469</eisbn><eisbn>1467300446</eisbn><eisbn>9781467300445</eisbn><eisbn>1467300462</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2012.6288361</doi><tpages>4</tpages></addata></record> |
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| issn | 1520-6149 2379-190X |
| language | eng |
| recordid | cdi_ieee_primary_6288361 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biological system modeling Biometrics Correlation Ear Educational institutions Empirical Mode Decomposition Noise Stability analysis Transient analysis Transient Otoacoustic Emission |
| title | Transient Otoacoustic Emissions for biometric recognition |
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