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Automatic cattle identification using graph matching based on local invariant features

dc.contributor.authorMonteiro, Fernando C.
dc.date.accessioned2018-04-06T10:56:28Z
dc.date.available2018-04-06T10:56:28Z
dc.date.issued2016
dc.description.abstractCattle muzzle classification can be considered as a biometric identifier important to animal traceability systems to ensure the integrity of the food chain. This paper presents a muzzle-based classification system that combines local invariant features with graph matching. The proposed approach consists of three phases; namely feature extraction, graph matching, and matching refinement. The experimental results showed that our approach is superior than existing works as ours achieves an all correct identification for the tested images. In addition, the results proved that our proposed method achieved this high accuracy even if the testing images are rotated in various angles.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMonteiro, Fernando C. (2016). Automatic cattle identification using graph matching based on local invariant features. In 13th International Conference on Image Analysis and Recognition, ICIAR 2016. Póvoa de Varzim, Portugal. 9730, p. 792-800. ISSN 0302-9743pt_PT
dc.identifier.doi10.1007/978-3-319-41501-7_88pt_PT
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10198/16723
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectImage analysispt_PT
dc.subjectFeature extractionpt_PT
dc.subjectBiometric identifierspt_PT
dc.subjectGraph matchingpt_PT
dc.subjectClassification systempt_PT
dc.subjectLocal invariant featurespt_PT
dc.titleAutomatic cattle identification using graph matching based on local invariant featurespt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlacePóvoa de Varzim, Portugalpt_PT
oaire.citation.endPage800pt_PT
oaire.citation.startPage792pt_PT
oaire.citation.title13th International Conference on Image Analysis and Recognition, ICIAR 2016pt_PT
oaire.citation.volume9730pt_PT
person.familyNameMonteiro
person.givenNameFernando C.
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.orcid0000-0002-1421-8006
person.identifier.ridH-9213-2016
person.identifier.scopus-author-id8986162600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication.latestForDiscovery363b6c37-282c-4cd6-bb54-3c97cc700d78

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