| Author(s): |
Stefan D. Leigh; Nathanael A. Heckert; Andrew L. Rukhin; P J. Phillips; Patrick J. Grother; E M. Newton; M Moody; K Kniskern; S Heath; |
| Title: |
Transformation, Ranking, and Clustering for Face Recognition Algorithm Performance |
| Published: |
January 01, 2002 |
| Abstract: |
The performance of face recognition algorithms is recently of increased interest, although to date empirical analyses of algorithms have been limited to rank-based scores such a cumulative match score and receiver operating characteristic. This paper demonstrates that algorithms that report ratio scale similarities between unknown and gallery images can be enormalized so that a large body of classical statistical methods can be applied to measure recognition performance. |
| Citation: |
Automatic Identification Advanced Technologies Workshop |
| Keywords: |
ANOVA;biometric evaluation;face recognition |
| Research Areas: |
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