A Hierarchical Fusion Strategy based Multimodal Biometric System
نویسنده
چکیده
Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric identification systems is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature selection and a post-classification fusion based on the similarity of maximum of scores. The proposed solution enhances biometric recognition performances based on suitable feature selection and reduction such as principal component analysis (PCA), as much as not all of the feature vectors components support the performance improvement degree.
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