• 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