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Face recognition by fast and stable bi-dimensional empirical mode decomposition

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dc.contributor Universitat de Vic - Universitat Central de Catalunya. Facultat de Ciències i Tecnologia
dc.contributor.author Gallego Jutglà, Esteve
dc.contributor.author Al-Baddai, Saad
dc.contributor.author Al-Subari, Karema
dc.contributor.author Tomé, Ana Maria
dc.contributor.author Lang, Elmar W.
dc.contributor.author Solé-Casals, Jordi
dc.date.accessioned 2015-12-03T11:41:37Z
dc.date.available 2015-12-03T11:41:37Z
dc.date.created 2015
dc.date.issued 2015
dc.identifier.citation Gallego-Jutglà, E., Al-Baddai, S., Al-Subari, K., Tomé, A. M., Lang, E. W., & Solé-Casals, J. (2015). Face recognition by fast and stable bi-dimensional empirical mode decomposition. 8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015, pp. 385-391. ca_ES
dc.identifier.isbn 978-989-758-069-7
dc.identifier.uri http://hdl.handle.net/10854/4367
dc.description BIOSIGNALS 2015
dc.description.abstract In this study the use of a new fast and stable decomposition technique, bi-dimensional empirical mode decomposition, is used for face recognition tasks. Images are decomposed individually, and then the distance with reference images is computed. Three different types of distances are tested. Then class association is based on minimum distance and by using a classifier. Preliminary results (90.0% of classification rate) are satisfactory and will justify a deep investigation on how to apply this bi- dimensional decomposition technique for face recognition. ca_ES
dc.format application/pdf
dc.format.extent 7 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher SciTePress - Science and Technology Publications ca_ES
dc.rights Tots els drets reservats ca_ES
dc.rights (c) SciTePress - Science and Technology Publications
dc.subject.other Biomètrica ca_ES
dc.subject.other Reconeixement facial (Informàtica) ca_ES
dc.title Face recognition by fast and stable bi-dimensional empirical mode decomposition ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.5220/0005337003850391
dc.rights.accesRights info:eu-repo/semantics/closedAccess ca_ES
dc.type.version info:eu-repo/publishedVersion ca_ES
dc.indexacio Indexat a SCOPUS ca_ES

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