2016
Discriminant correlation analysis for feature level fusion with application to multimodal biometrics
ICASSP 2016accepted
In this paper, we present Discriminant Correlation Analysis (DCA), a feature level fusion technique that incorporates the class associations in correlation analysis of the feature sets. DCA performs an effective feature fusion by maximizing the pair-wise correlations across the two feature sets, and…