Song-Hwa Kwon

Prof. Song-Hwa Kwon

The Catholic University of Korea
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2020 in Computer Aided Geometric Design
Verified
Journal Article
Closed access
CHChang Yong Han
Chang Yong Han
HMHwan Pyo Moon
Hwan Pyo Moon
SKSong-Hwa Kwon
Song-Hwa Kwon

10 September 2021 in Animals
Verified
Journal Article
Open access
PDF file
HCHyeong In Choi
Hyeong In Choi
YLYoonsuk Lee
Yoonsuk Lee
HSHyunjin Shin
Hyunjin Shin
SLSung Jin Lee
Sung Jin Lee
SCStephanie Sujin Choi
Stephanie Sujin Choi
SKSong-Hwa Kwon
Song-Hwa Kwon
The formation and invariance of the canine nose pattern is studied. Nose images of ten beagle dogs were collected for ten months from month two to month eleven. The nose patterns in these images are examined visually and by a biometric algorithm. It is found that the canine nose pattern is fully formed at the end of the second month since birth and remains invariant until the end of the eleventh month. This study also strongly indicates that the canine nose pattern can be used as a unique biometric marker for each individual dog.

1 June 2020 in Computer Aided Geometric Design
Verified
Journal Article
Closed access
HMHwan Pyo Moon
Hwan Pyo Moon
SKSoo Hyun KIM
Soo Hyun KIM
SKSong-Hwa Kwon
Song-Hwa Kwon

1 October 2020 in Computer Aided Geometric Design
Verified
Journal Article
Closed access
HMHwan Pyo Moon
Hwan Pyo Moon
SKSoo Hyun Kim
Soo Hyun Kim
SKSong-Hwa Kwon
Song-Hwa Kwon

25 November 2021 in Animals
Verified
Journal Article
Open access
PDF file
HCHyeong In Choi
Hyeong In Choi
MKMu-Young Kim
Mu-Young Kim
HYHun-Young Yoon
Hun-Young Yoon
SLSung Jin Lee
Sung Jin Lee
SCStephanie Sujin Choi
Stephanie Sujin Choi
SKSong-Hwa Kwon
Song-Hwa Kwon
The uniqueness of the canine nose pattern was studied. A total of 180 nose images of 60 dogs of diverse age, gender, and breed were collected. The canine nose patterns in these images were examined visually and by a biometric algorithm. It was found that the canine nose pattern remains invariant regardless of when the image is taken; and that the canine nose pattern is indeed unique to each dog. The same study was also performed on an enlarged dataset of 278 nose images of 70 dogs of 19 breeds. The study of the enlarged dataset also leads to the same conclusion. The result of this paper confirms and enhances the claims of earlier works by others that the canine nose pattern is indeed unique to each animal and serves as a unique biometric marker.