Identification and recognition of animals from biometric markers using computer vision approaches: a review
Although 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 anima...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Kafkas University, Faculty of Veterinary Medicine
2023-10-01
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| Series: | Kafkas Universitesi Veteriner Fakültesi Dergisi |
| Subjects: | |
| Online Access: | https://vetdergikafkas.org/pdf.php?id=3043 |
| _version_ | 1797403875745988608 |
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| author | Pınar CIHAN Ahmet SAYGILI Nihat Eren OZMEN Muhammed AKYUZLU |
| author_facet | Pınar CIHAN Ahmet SAYGILI Nihat Eren OZMEN Muhammed AKYUZLU |
| author_sort | Pınar CIHAN |
| collection | DOAJ |
| description | Although 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. |
| first_indexed | 2024-03-09T02:44:47Z |
| format | Article |
| id | doaj.art-f0adec03ce8a428197c2e3fc8a5f4825 |
| institution | Directory Open Access Journal |
| issn | 1309-2251 |
| language | English |
| last_indexed | 2024-03-09T02:44:47Z |
| publishDate | 2023-10-01 |
| publisher | Kafkas University, Faculty of Veterinary Medicine |
| record_format | Article |
| series | Kafkas Universitesi Veteriner Fakültesi Dergisi |
| spelling | doaj.art-f0adec03ce8a428197c2e3fc8a5f48252023-12-05T21:27:26ZengKafkas University, Faculty of Veterinary MedicineKafkas Universitesi Veteriner Fakültesi Dergisi1309-22512023-10-0129658159310.9775/kvfd.2023.302653043Identification and recognition of animals from biometric markers using computer vision approaches: a reviewPınar CIHAN0Ahmet SAYGILI1Nihat Eren OZMEN2Muhammed AKYUZLU3Tekirdağ Namık Kemal University, Faculty of Corlu Engineering, Department of Computer Engineering, TR-59860 Tekirdağ - TÜRKİYETekirdağ Namık Kemal University, Faculty of Corlu Engineering, Department of Computer Engineering, TR-59860 Tekirdağ - TÜRKİYETekirdağ Namık Kemal University, Faculty of Corlu Engineering, Department of Computer Engineering, TR-59860 Tekirdağ - TÜRKİYETekirdağ Namık Kemal University, Faculty of Corlu Engineering, Department of Computer Engineering, TR-59860 Tekirdağ - TÜRKİYEAlthough 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.https://vetdergikafkas.org/pdf.php?id=3043animalbiometric markerscomputer visionidentificationrecognition |
| spellingShingle | Pınar CIHAN Ahmet SAYGILI Nihat Eren OZMEN Muhammed AKYUZLU Identification and recognition of animals from biometric markers using computer vision approaches: a review Kafkas Universitesi Veteriner Fakültesi Dergisi animal biometric markers computer vision identification recognition |
| title | Identification and recognition of animals from biometric markers using computer vision approaches: a review |
| title_full | Identification and recognition of animals from biometric markers using computer vision approaches: a review |
| title_fullStr | Identification and recognition of animals from biometric markers using computer vision approaches: a review |
| title_full_unstemmed | Identification and recognition of animals from biometric markers using computer vision approaches: a review |
| title_short | Identification and recognition of animals from biometric markers using computer vision approaches: a review |
| title_sort | identification and recognition of animals from biometric markers using computer vision approaches a review |
| topic | animal biometric markers computer vision identification recognition |
| url | https://vetdergikafkas.org/pdf.php?id=3043 |
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