Threshold-based Fusion
Threshold-Based Fusion is a decision-level fusion strategy that integrates individual classifier outputs by applying a predefined threshold criterion to determine the final classification outcome, thereby distinguishing it from other fusion methods through its reliance on fixed or adaptive thresholding for decision combination.
37
Publications
1.8K
Citations
109
Authors
59
Institutions
Publications per year
2017–2026
10
Parents
37
Decision-level fusion in fingerprint verification
Salil Prabhakar, Anil K. Jain · Pattern Recognition · 2002 · 405 citations
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University of Electronic Science and Technology of China, China
2 publications · 207 citations
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1–5 of 109
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Nanyang Technological University
Singapore, Singapore
3 h-index
9 publications
825 citations

University of Trento
Trento, Italy
2 h-index
2 publications
82 citations

Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
5 publications
116 citations

National Institute of Technology Patna
Patna, India
2 h-index
5 publications
109 citations
Institute for Infocomm Research
Singapore, Singapore
2 h-index
6 publications
621 citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
448 citations
Agency for Science, Technology and Research
Singapore, Singapore
2 h-index
6 publications
621 citations
Amity University
Noida, India
1 h-index
3 publications
63 citations
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2 publications · 484 citations
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2 publications · 87 citations
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2 publications · 54 citations
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1 publications · 128 citations
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1 publications · 15 citations
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