Computational Methods for Determining Individuality

Authors:
Sargur N. Srihari;Chang Su
Affiliations:
Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, State University of New York, Amherst, New York, U.S.A 14228;Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, State University of New York, Amherst, New York, U.S.A 14228
Venue:
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
Year:
2008

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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.