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Histogram equalization in SVM multimodal person verification

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dc.contributor.author Farrús, Mireia
dc.contributor.author Ejarque, Pascual
dc.contributor.author Temko, Andrey
dc.contributor.author Hernando, Javier
dc.date.accessioned 2017-04-18T08:23:54Z
dc.date.available 2017-04-18T08:23:54Z
dc.date.issued 2007
dc.identifier.citation Farrús M, Ejarque P, Temko A, Hernando J. Histogram equalization in SVM multimodal person verification. In: Lee S-W, Li SZ, editors. Advances in Biometrics. International Conference, ICB 2007; 2007 Aug 27-29; Seoul, Korea. [place unknown]: Springer; 2007. p. 819-27. DOI: 10.1007/978-3-540-74549-5_86
dc.identifier.uri http://hdl.handle.net/10230/30825
dc.description Comunicació presentada a la International Conference on Biometrics (ICB) celebrada a Seoul (Korea) els dies 27 a 29 d'agost de 2007.
dc.description.abstract It has been shown that prosody helps to improve voice spectrum based speaker recognition systems. Therefore, prosodic features can also be used in multimodal person verification in order to achieve better results. In this paper, a multimodal recognition system based on facial and vocal tract spectral features is improved by adding prosodic information. Matcher weighting method and support vector machines have been used as fusion techniques, and histogram equalization has been applied before SVM fusion as a normalization technique. The results show that the performance of a SVM multimodal verification system can be improved by using histogram equalization, especially when the equalization is applied to those scores giving the highest EER values.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Lee S-W, Li SZ, editors. Advances in Biometrics. International Conference, ICB 2007; 2007 Aug 27-29; Seoul, Korea. [place unknown]: Springer; 2007. p. 819-27.
dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-74549-5_86.
dc.title Histogram equalization in SVM multimodal person verification
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-540-74549-5_86
dc.subject.keyword Speaker recognition
dc.subject.keyword Multimodality
dc.subject.keyword Fusion
dc.subject.keyword Support vector machines
dc.subject.keyword Histogram equalization
dc.subject.keyword Prosody
dc.subject.keyword Voice spectrum
dc.subject.keyword Face
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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