DocumentCode
2581649
Title
The relation between the ROC curve and the CMC
Author
Bolle, R.M. ; Connell, J.H. ; Pankanti, S. ; Ratha, N.K. ; Senior, A.W.
Author_Institution
Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
fYear
2005
fDate
17-18 Oct. 2005
Firstpage
15
Lastpage
20
Abstract
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.
Keywords
biometrics (access control); pattern matching; sensitivity analysis; CMC; FAR; FRR; ROC curve; cumulative match curve; false accept rate; false reject rate; identification system performance; receiver operating characteristic curve; Biometrics; Bismuth; Computer displays; Computer vision; Databases; Probes; Search engines; Sorting; System performance; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Identification Advanced Technologies, 2005. Fourth IEEE Workshop on
Print_ISBN
0-7695-2475-3
Type
conf
DOI
10.1109/AUTOID.2005.48
Filename
1544394
Link To Document