The relation between the ROC curve and the CMC

被引：133

作者：

Bolle, RM ^{[1
]}

Connell, JH ^{[1
]}

Pankanti, S ^{[1
]}

Ratha, NK ^{[1
]}

Senior, AW ^{[1
]}

机构：

[1] IBM Corp, Thomas J Watson Res Ctr, Exploratory Comp Vis Grp, Hawthorne, NY 10532 USA

来源：

FOURTH IEEE WORKSHOP ON AUTOMATIC IDENTIFICATION ADVANCED TECHNOLOGIES, PROCEEDINGS | 2005年

关键词：

D O I：

10.1109/AUTOID.2005.48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：15 / 20

页数：6