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Comparison of confidence measures for face recognition

  • University of Duisburg-Essen

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

15 Scopus citations

Abstract

This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown people and the detection of recognition errors. Some of the confidence measures are based on the posterior probability and some on the ranking of the recognition results. The posterior probability is calculated by applying Bayes' rule with different ways to approximate the unconditional likelihood. The confidence measure based on the ranking is a new method. Experiments to evaluate the confidence measures are carried out on a pseudo 2D hidden Markov model-based face recognition system and the Bochum face database.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
PublisherIEEE Computer Society
Pages257-262
Number of pages6
ISBN (Print)0769505805, 9780769505800
DOIs
StatePublished - 2000
Externally publishedYes
Event4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 - Grenoble, France
Duration: 28 Mar 200030 Mar 2000

Publication series

NameProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000

Conference

Conference4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
Country/TerritoryFrance
CityGrenoble
Period28/03/0030/03/00

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