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Published Articles >> Table of Contents >> Abstract
Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05)
pp. 15-20
The Relation between the ROC Curve and the CMC
R. M. Bolle, IBM Thomas J. Watson Research Center
J. H. Connell, IBM Thomas J. Watson Research Center
S. Pankanti, IBM Thomas J. Watson Research Center
N. K. Ratha, IBM Thomas J. Watson Research Center
A. W. Senior, IBM Thomas J. Watson Research Center
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AUTOID.2005.48
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| Abstract |
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The Cumulative Match Curve (CMC) is used as a measure
of 1:m identification system performance. It judges
the ranking capabilities of an identification system. The
Receiver Operating Characteristic curve (ROC curve) of a
verification system, on the other hand, expresses the quality
of a 1:1 matcher. The ROC plots the False Accept Rate
(FAR) of a 1:1 matcher versus the False Reject Rate (FRR)
of the matcher. We show that the CMC is also related to
the FAR and FRR of a 1:1 matcher, i.e., the matcher that is
used to rank the candidates by sorting the scores. This has
as a consequence that when a 1:1 matcher is used for identification,
that is, for sorting match scores from high to low,
the CMC does not offer any additional information beyond
the FAR and FRR curves. The CMC is just another way of
displaying the data and can be computed from the FAR and
FRR.
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 Additional Information
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Citation:
R. M. Bolle, J. H. Connell, S. Pankanti, N. K. Ratha, A. W. Senior,
"The Relation between the ROC Curve and the CMC,"
autoid,
pp. 15-20,
Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05),
2005
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