A New Data Normalization Function for Multibiometric Contexts: A Case Study

It has been not possible yet to identify a physical or behavioural feature able by itself to identify a person in a way satisfying the acceptability and reliability constraints imposed by real applications. As a consequence the present trend is towards multimodal systems. Data normalization problem is crucial when fusing results from different subsystems. We introduce a new normalization function, the mapping function, able to overcome the limitations of commonly used techniques. In this work we also test it on a real hierarchical system obtained by the novel combination schema of the three different biometries face, ear and fingerprint. Experimental results in the final part of our work provide a positive feedback about assertions within the body of the paper.