Customizing biometric authentication systems via discriminative score calibration

Abstract

There is mounting evidence about the benefit of tailoring a biometric authentication system to each user by postprocessing the system output at the score level, also known as client-specific score normalisation. Examples of these procedures are Z-norm and F-norm. These procedures can calibrate the uneven hypothesis space such that the dispropotionate false… (More)
DOI: 10.1109/CVPR.2012.6247989

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