IEEE Transactions on Circuits and Systems for Video Technology
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We present a calibration algorithm that converts biometric matching scores into probability-based confidence scores Using the context of iris biometrics, we show – theoretically and by experiments – that in addition to attaching a meaningful confidence measure to the output, this calibration technique yields the best possible detection error trade-off (DET) curves, both at the score level and at the decision level, thus maximizing the overall performance of the biometric system.