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An Efficient Feature-Level Fusion Scheme in Multimodal Biometrics

Due to inherent properties in each biometric, none of any single biometric can guarantee 100% authentication accuracy by only itself. Information fusion is the key step in multimodal biometric recognition systems. Previous researches have confirmed that fusion at low-level considered to be effective, but difficult. In this paper, a feature-level fusion scheme based on shuffle/coding rule is proposed and three types of fusion are addressed. Some competitive experimental results show that the proposed fusion scheme is very advantageous.