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Automatic cattle identification using graph matching based on local invariant features

dc.contributor.authorMonteiro, Fernando C.
dc.date.accessioned2018-04-06T13:25:52Z
dc.date.available2018-04-06T13:25:52Z
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 International Conference in Image Analysis and Recognition - ICIAR 2016. Póvoa de Varzim, Portugalpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/16734
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGraph matchingpt_PT
dc.subjectFeature extractionpt_PT
dc.subjectPattern recognitionpt_PT
dc.subjectCattle identificationpt_PT
dc.titleAutomatic cattle identification using graph matching based on local invariant featurespt_PT
dc.typeconference poster
dspace.entity.typePublication
oaire.citation.conferencePlacePóvoa de Varzim, Portugalpt_PT
oaire.citation.titleInternational Conference in Image Analysis and Recognition - ICIAR 2016pt_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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