Evaluating the Rarity of Handwriting Formations

Author

Srihari, Sargur N.

Author_Institution

CEDAR, SUNY - Univ. at Buffalo, Buffalo, NY, USA

fYear

2011

fDate

18-21 Sept. 2011

Firstpage

618

Lastpage

622

Abstract

Identifying unusual or unique characteristics of an observed sample in useful in forensics in general and handwriting analysis in particular. Rarity is formulated as the probability of letter formations characterized by a set of features. Modeling the distribution as a probabilistic graphical model several probabilities are inferred: the probability of random correspondence (PRC) as a measure of the discriminatory power of the characteristics, conditional PRC associated with a given sample and the probability of finding a similar one within tolerance in a database of given size. Using the most commonly occurring letter pair "th" and characteristics specified by questioned document examiners, the highest probability formation and low probability formations in a database are determined. Computational issues in scaling the methods are discussed.

Keywords

computer forensics; document handling; handwriting recognition; probability; forensics; handwriting analysis; handwriting formation; probabilistic graphical model; random correspondence; Bayesian methods; Databases; Forensics; Graphical models; Probabilistic logic; Probability distribution; Shape; graphical models; handwriting; probability evaluation; writer verification;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition (ICDAR), 2011 International Conference on

Conference_Location

Beijing

ISSN

1520-5363

Print_ISBN

978-1-4577-1350-7

Electronic_ISBN

1520-5363

Type

conf

DOI

10.1109/ICDAR.2011.130

Filename

6065385