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Proceedings Paper

Handwriting individualization using distance and rarity
Author(s): Yi Tang; Sargur Srihari; Harish Srinivasan
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Paper 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.

Paper Details

Date Published: 24 January 2012
PDF: 10 pages
Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970R (24 January 2012); doi: 10.1117/12.912035
Show Author Affiliations
Yi Tang, Univ. at Buffalo (United States)
Sargur Srihari, Univ. at Buffalo (United States)
Harish Srinivasan, Janya Inc. (United States)


Published in SPIE Proceedings Vol. 8297:
Document Recognition and Retrieval XIX
Christian Viard-Gaudin; Richard Zanibbi, Editor(s)

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