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dc.contributor.authorIturbe, Mikel
dc.contributor.authorUribeetxeberria, Roberto
dc.contributor.otherKähm, Olga
dc.date.accessioned2024-04-16T13:40:33Z
dc.date.available2024-04-16T13:40:33Z
dc.date.issued2012
dc.identifier.isbn9788461599332en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=85061en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6356
dc.description.abstractIn this work a comparison of the SURF and MUSURF feature descriptor vectors is made. First, the descriptors’ performance is evaluated using a standard data set of general transformed images. This evaluation consists in counting correspondences and correct matches between ten image pairs. Image pairs have different transformations (rotation, scale change, viewpoint change, blur, JPEG compression and illumination change) in order to evaluate the descriptors in different environments. The second test evaluates the descriptors’ suitability for tattoo matching. In this case, one hundred randomly chosen transformed tattoo images are matched against a database of ten thousand images. The transformations include rotation change, RGB noise and cropped images. Non-transformed images are also evaluated. In both tests, the descriptors represent the interest points previously detected and stored into a file by the same detector, to ensure the validity of the test. Results show that the newer and modified version of the SURF descriptor, MU-SURF, performs better than its counterpart and it is suitable for tattoo matching.en
dc.language.isoengen
dc.publisherMondragon Unibertsitateaen
dc.relation.ispartofhttps://hdl.handle.net/20.500.11984/6362
dc.rights© 2012 Los autoresen
dc.titleSURF and MU-SURF descriptor comparison with application in soft-biometric tattoo matching applicationsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceXII Reunión Española sobre Criptología y Seguridad de la Información (RECSI)en
local.contributor.groupAnálisis de datos y ciberseguridades
local.description.peerreviewedtrueen
local.contributor.otherinstitutionhttps://ror.org/04gmsar03es
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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