A multimodal biometric system aims at combined information from various single modality systems. In this paper various normalization and fusion techniques are examined by using the three modalities namely fingerprint, retina and ear. The performance of score level fusion preceded by the different normalization schemes show the improved recognition rates compared to the fusion of original scores. The results are experimentally verified and the performance graphs are plotted.
EFFICIENT AUTHENTICATION METHOD USING SCORE LEVEL FUSION AND PARTICLE SWARM OPTIMIZATION (PSO) OF MULTIMODAL BIOMETRICS
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