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The use of quality measures in biometrics is rapidly becoming the standard method of ensuring reliable performance of the biometric systems, especially in the presence of variable environmental conditions of signal capture. It is often necessary to integrate multiple quality measures into the classification process in order to capture the relevant aspects of signal quality. The inclusion of multiple quality features quickly increases the risks of the dimensionality curse. No mature strategy ofdoi:10.1109/cvprw.2010.5544619 dblp:conf/cvpr/KryszczukP10 fatcat:yaamfgjkwfcslgs6tvurkzryfm