Abstract
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.
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De Marsico, M., Riccio, D. (2008). A New Data Normalization Function for Multibiometric Contexts: A Case Study. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_103
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DOI: https://doi.org/10.1007/978-3-540-69812-8_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
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