A Method of Dog Recognition using Nose Print and Landmarks

Ho-Young Kwak (곽호영); Yun, Young-Min (윤영민); Jin-Wook Chang (장진욱); Woojin Song (송우진); Soo Kyun Kim (김수균)

doi:10.9708/jksci.2022.27.02.099

A Method of Dog Recognition using Nose Print and Landmarks

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2022, 27(2), pp.99-106
DOI : 10.9708/jksci.2022.27.02.099
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : January 28, 2022
Accepted : February 18, 2022
Published : February 28, 2022

Ho-Young Kwak ¹, Yun, Young-Min ¹, Jin-Wook Chang ², Woojin Song ¹, Soo Kyun Kim ¹

¹제주대학교
²주식회사 에이치알지

Accredited

ABSTRACT

In this paper, We propose a method for identifying objects by setting inscriptions and landmarks of dogs. The phenomenon of abandoning dogs is on the rise, and the number of abandoned individuals is also rapidly increasing. These abandoned dogs are becoming wild animals, causing a lot of damage to people's daily life, causing serious problems. As a solution to this problem, the animal registration system is being implemented, but there is a phenomenon that some dog owners avoid the registration method that inserts a chip, so the complete registration system is not settled. When registering a dog, removing the avoidance of dog owners will help establish the companion animal registration system. In this paper, we present a technique to identify objects by setting inscriptions and landmarks of dogs so that dog owners can register their dogs in a friendly way to eliminate this avoidance phenomenon.

KEYWORDS

Nose print, Landmark, Object recognition, Object identification, Registration system

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Method of Dog Recognition using Nose Print and Landmarks

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Method of Dog Recognition using Nose Print and Landmarks

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.