Skip to main navigation Skip to search Skip to main content

The relation between the ROC curve and the CMC

  • R. M. Bolle
  • , J. H. Connell
  • , S. Pankanti
  • , N. K. Ratha
  • , A. W. Senior
  • IBM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

175 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - Fourth IEEE Workshop on Automatic Identification Advanced Technologies, AUTO ID 2005
Pages15-20
Number of pages6
DOIs
StatePublished - 2005
Event4th IEEE Workshop on Automatic Identification Advanced Technologies, AUTO ID 2005 - New York, NY, United States
Duration: Oct 17 2005Oct 18 2005

Publication series

NameProceedings - Fourth IEEE Workshop on Automatic Identification Advanced Technologies, AUTO ID 2005
Volume2005

Conference

Conference4th IEEE Workshop on Automatic Identification Advanced Technologies, AUTO ID 2005
Country/TerritoryUnited States
CityNew York, NY
Period10/17/0510/18/05

Fingerprint

Dive into the research topics of 'The relation between the ROC curve and the CMC'. Together they form a unique fingerprint.

Cite this