Closed-set Biometric Recognition
Closed-Set Biometric Recognition is a biometric verification paradigm in which the system assumes that every presented biometric sample belongs to an individual enrolled in the database, thereby restricting identification decisions to only those individuals within the known set.
8
Publications
246
Citations
28
Authors
15
Institutions
Publications per year
2017–2026
4
Parents
8
Models of large population recognition performance
Patrick Grother, P. Jonathon Phillips · 2004 · 67 citations
Relating ROC and CMC curves via the biometric menagerie
Brian DeCann, Arun Ross · 2013 · 62 citations
Tianwen Yang, Jianing Zhao, Xin Wang et al. · 2022 IEEE/CIC International Conference on Communications in China (ICCC) · 2022 · 22 citations
Improving Known–Unknown Cattle’s Face Recognition for Smart Livestock Farm Management
Yao Meng, Sook Yoon, Shujie Han et al. · Animals · 2023 · 22 citations · Full text
1–5 of 8
28
National Institute of Standards and Technology, United States
2 publications · 88 citations
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1
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1
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1
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1–5 of 28
15
National Institute of Standards and Technology
Gaithersburg, United States
2 h-index
3 publications
155 citations

China Mobile (China)
Beijing, China
1 h-index
1 publications
22 citations

University of Ljubljana
Ljubljana, Slovenia
1 h-index
4 publications
68 citations
Purple Mountain Laboratories
Nanjing, China
1 h-index
1 publications
22 citations
Colorado State University
Fort Collins, United States
1 h-index
1 publications
21 citations
National Tsing Hua University
Hsinchu, Taiwan
1 h-index
4 publications
60 citations
Mokpo National University
Muan, South Korea
1 h-index
1 publications
22 citations
Banasthali University
Jaipur, India
1 h-index
1 publications
20 citations
1–8 of 15
1 publications · 22 citations
1
h-index
1 publications · 15 citations
1
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Conference · 1 publications · 22 citations
1
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1 publications · 12 citations
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