Normalized Scores
Normalized Scores is a type of standard score that belongs to the class of transformed raw scores, distinguished by its method of scaling data to fit a normal distribution through linear or nonlinear transformations.
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Score normalization in multimodal biometric systems
Anil K. Jain, Karthik Nandakumar, Arun Ross · Pattern Recognition · 2005 · 2.1K citations
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Harvard University
Cambridge, United States
6 h-index
12 publications
762 citations
Max Planck Society
Munich, Germany
5 h-index
6 publications
467 citations

Johns Hopkins University
Baltimore, United States
5 h-index
9 publications
3.8K citations
Max Planck Innovation
Munich, Germany
5 h-index
5 publications
330 citations

Brigham and Women's Hospital
Boston, United States
4 h-index
10 publications
376 citations
AT&T (United States)
Bedminster, United States
3 h-index
7 publications
717 citations
University of Washington
Seattle, United States
3 h-index
5 publications
270 citations
Massachusetts General Hospital
Boston, United States
3 h-index
7 publications
165 citations
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5 publications · 499 citations
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