Handwriting individualization using distance and rarity

Yi Tang; Sargur Srihari; Harish Srinivasan

doi:10.1117/12.912035

23 January 2012 Handwriting individualization using distance and rarity

Yi Tang, Sargur Srihari, Harish Srinivasan

Proceedings Volume 8297, Document Recognition and Retrieval XIX; 82970R (2012) https://doi.org/10.1117/12.912035
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

Forensic individualization is the task of associating observed evidence with a specific source. The likelihood ratio (LR) is a quantitative measure that expresses the degree of uncertainty in individualization, where the numerator represents the likelihood that the evidence corresponds to the known and the denominator the likelihood that it does not correspond to the known. Since the number of parameters needed to compute the LR is exponential with the number of feature measurements, a commonly used simplification is the use of likelihoods based on distance (or similarity) given the two alternative hypotheses. This paper proposes an intermediate method which decomposes the LR as the product of two factors, one based on distance and the other on rarity. It was evaluated using a data set of handwriting samples, by determining whether two writing samples were written by the same/different writer(s). The accuracy of the distance and rarity method, as measured by error rates, is significantly better than the distance method.

Citation Download Citation

Yi Tang, Sargur Srihari, and Harish Srinivasan "Handwriting individualization using distance and rarity", Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970R (23 January 2012); https://doi.org/10.1117/12.912035

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