Abstract
We argue how we should deal with some pieces of information each of which is not so strong for person recognition. On the basis of Dempster-Shafer theory, we introduce: 1) a new method of assigning a basic probability to nodes on a decision tree that is a basic expression of our current psychological status when we recieve an evidence, and 2) an update rule to combine several evidences presented sequentially. In person identification, the effectioness of these approaches is confirmed.
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Yamada, M., Kudo, M. (2004). Combination of Weak Evidences by D-S Theory for Person Recognition. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_144
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DOI: https://doi.org/10.1007/978-3-540-30132-5_144
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
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