Identification and Recognition of Animals from Biometric Markers Using Computer Vision Approaches: A Review

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dc.authoridAKYUZLU, MUHAMMED/0009-0006-3940-520X
dc.authoridOZMEN, Nihat Eren/0000-0002-0053-3865
dc.contributor.authorCihan, Pinar
dc.contributor.authorSaygili, Ahmet
dc.contributor.authorOzmen, Nihat Eren
dc.contributor.authorAkyuzlu, Muhammed
dc.date.accessioned2024-10-29T17:59:54Z
dc.date.available2024-10-29T17:59:54Z
dc.date.issued2023
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.description.abstractAlthough classic methods (such as ear tagging, marking, etc.) are generally used for animal identification and recognition, biometric methods have gained popularity in recent years due to the advantages they offer. Systems utilizing biometric markers have been developed for various purposes in animal management, including more effective and accurate tracking of animals, vaccination, disease management, and prevention of theft and fraud. Animals' irises, retinas, faces, muzzle, and body patterns contain unique biometric markers. The use of these markers in computer vision approaches for animal identification and tracking systems has become a highly effective and promising research area in recent years. This review aims to provide a general overview of the latest developments in image processing approaches for animal identification and recognition applications. In this review, we examined in detail all relevant studies we could access from different electronic databases for each biometric method. Afterward, the opportunities and challenges of classical and biometric methods were compared. We anticipate that this study, which conducts a literature review on animal identification and recognition based on computer vision approaches, will shed light on future research towards developing automated systems with biometric methods.
dc.identifier.doi10.9775/kvfd.2023.30265
dc.identifier.issn1300-6045
dc.identifier.issn1309-2251
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85175966080
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.9775/kvfd.2023.30265
dc.identifier.urihttps://hdl.handle.net/20.500.11776/14869
dc.identifier.volume29
dc.identifier.wosWOS:001093463000001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherKafkas Univ, Veteriner Fakultesi Dergisi
dc.relation.ispartofKafkas Universitesi Veteriner Fakultesi Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAnimal
dc.subjectBiometric markers
dc.subjectComputer vision
dc.subjectIdentification
dc.subjectRecognition
dc.titleIdentification and Recognition of Animals from Biometric Markers Using Computer Vision Approaches: A Review
dc.typeReview Article

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