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Computational Methods for Determining Individuality

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Computational Forensics (IWCF 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5158))

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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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Authors and Affiliations

  1. Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, State University of New York, Amherst, New York, 14228, U.S.A

    Sargur N. Srihari & Chang Su

Authors
  1. Sargur N. Srihari
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  2. Chang Su
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Sargur N. Srihari Katrin Franke

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© 2008 Springer-Verlag Berlin Heidelberg

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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

  • Online ISBN: 978-3-540-85303-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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