Comparing the performance and accuracy of algorithms applied to tattoos images identification

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dc.contributor.authorHorta, Agnus Azevedo
dc.contributor.authorMagalhães, Léo Pini
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-05-07T06:39:36Z
dc.date.available2019-05-07T06:39:36Z
dc.date.issued2018
dc.description.abstract-translatedThis article presents results of the simulation of SIFT based algorithms in the context of the identification of tattoos. The algorithms studied are the SIFT - Scale Invariant Feature Transform, ASIFT - Affine SIFT, BOV - Bag of Visual Words and FV - Fisher Vector. The use of the OPF - Optimum-Path Forest and SVM - Support Vector Machine classifiers is exploited in conjunction with SIFT and ASIFT algorithms as well as BOV and FV. The present study uses the National Institute of Standards and Technology (NIST) Tatt-C dataset in a reduced and complete version. This work uses runtime and accuracy to compare the results of the simulations.en
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2018, vol. 26, no. 1, p. 41-47.en
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2018.26.1.5
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.uriwscg.zcu.cz/WSCG2018/!_2018_Journal_WSCG-No-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/34587
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectidentifkace tetovánícs
dc.subjectSIFTcs
dc.subjectASIFTcs
dc.subjectBOVcs
dc.subjectFisherovy vektorycs
dc.subjectoptimální klasifikátor lesních cestcs
dc.subjectpodpora vektorového strojecs
dc.subjectměkká biometriecs
dc.subjectnačítání obrázků na základě obsahucs
dc.subject.translatedtattoo identificationen
dc.subject.translatedSIFTen
dc.subject.translatedASIFTen
dc.subject.translatedBOVen
dc.subject.translatedFisher vectorsen
dc.subject.translatedoptimum-path forest classifieren
dc.subject.translatedsupport vector machinesen
dc.subject.translatedsoft biometricen
dc.subject.translatedcontent-based image retrievalen
dc.titleComparing the performance and accuracy of algorithms applied to tattoos images identificationen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Volume 26, Number 1 (2018)