Abstract
Individuality is the state or quality of being an individual. We establish a computational methodology to determine whether a particular modality of data is sufficient to establish the individuality of every individual or even a demographic group. To test the individuality, generative models are given or learned to represent the distribution of certain characteristics such as birthday, human heights and fingerprints. Given the individuality assessments of different characteristic, the models based on multiple characteristics are proven to get strengthen individuality.
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Srihari, S.N., Su, C. (2008). Computational Methods for Determining Individuality. In: Srihari, S.N., Franke, K. (eds) Computational Forensics. IWCF 2008. Lecture Notes in Computer Science, vol 5158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85303-9_2
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DOI: https://doi.org/10.1007/978-3-540-85303-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85302-2
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