In this paper, we present Discriminant Correlation Analysis (DCA), a feature level fusion technique that incorporates the class associations in correlation ...

May 17, 2016 · DCA performs an effective feature fusion by maximizing the pairwise correlations across the two feature sets and, at the same time, eliminating ...

Discriminant correlation analysis (DCA) is a feature-level fusion technique that includes the class relationships in the correlation analysis of the feature ...

ABSTRACT. In this paper, we present Discriminant Correlation Anal- ysis (DCA), a feature level fusion technique that incorporates.

It aims to find transformations that maximize the pair-wise correlations across the two feature sets and at the same time, separate the classes within each set.

Feature fusion is the process of combining two feature vectors to obtain a single feature vector, which is more discriminative than any of the input feature ...

Extensive experiments on various multimodal biometric databases demonstrated the efficacy of our proposed approach in the fusion of multimodal feature sets or ...

Abstract—Information fusion is a key step in multimodal bio- metric systems. Fusion of information can occur at different levels of a recognition system, ...

An approach for combining features from different modalities, also known as feature-level fusion, for mobile devices in which the degradation of biometric ...

Jul 26, 2022 · Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition. EEE Trans Inf Forensics Secur. 2016 ...