Histogram equalization in SVM multimodal person verification

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  • dc.contributor.author Farrús, Mireiaca
  • dc.contributor.author Ejarque, Pascualca
  • dc.contributor.author Temko, Andreyca
  • dc.contributor.author Hernando, Javierca
  • dc.date.accessioned 2017-04-18T08:23:54Z
  • dc.date.available 2017-04-18T08:23:54Z
  • dc.date.issued 2007
  • 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/pdfca
  • 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.doi http://dx.doi.org/10.1007/978-3-540-74549-5_86
  • dc.identifier.uri http://hdl.handle.net/10230/30825
  • dc.language.iso eng
  • dc.publisher Springerca
  • 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.rights.accessRights info:eu-repo/semantics/openAccess
  • 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.title Histogram equalization in SVM multimodal person verificationca
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/acceptedVersion