Score calibration in face recognition. Issue 4 (1st December 2014)

• Record Type: Journal Article
• Authors: Mandasari, Miranti Indar; Günther, Manuel; Wallace, Roy; Saeidi, Rahim; Marcel, Sébastien; van Leeuwen, David A.
• Is Part Of: IET biometrics. Volume 3:Issue 4(2014)
• Page Start: 246
• Page End: 256
• Publication Date: 2014-12-01
• Subjects: face recognition -- calibration -- biometrics (access control) -- surveillance -- visual databases; face recognition system -- calibration performance evaluation -- intersession variability modelling -- linear score transformation -- categorical calibration -- speaker recognition field -- calibration performance metric -- mobile biometrics -- surveillance camera face databases -- linearly calibrated face recognition scores -- likelihood ratio interpretation; Biometric identification -- Periodicals; 570.15195
• DOI: 10.1049/iet-bmt.2013.0066
• Languages: English
• ISSNs: 2047-4938

Abstract

Abstract : An evaluation of the verification and calibration performance of a face recognition system based on inter‐session variability modelling is presented. As an extension to calibration through linear transformation of scores, categorical calibration is introduced as a way to include additional information about images for calibration. The cost of likelihood ratio, which is a well‐known measure in the speaker recognition field, is used as a calibration performance metric. The results obtained from the challenging mobile biometrics and surveillance camera face databases indicate that linearly calibrated face recognition scores are less misleading in their likelihood ratio interpretation than uncalibrated scores. In addition, the categorical calibration experiments show that calibration can be used not only to improve the likelihood ratio interpretation of scores, but also to improve the verification performance of a face recognition system.