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Summary: A STROKE BASED ALGORITHM FOR DYNAMIC SIGNATURE
VERIFICATION
Tong Qu, Abdulmotaleb El Saddik, Andy Adler
School of Information Technology and Engineering
University of Ottawa, Ontario, Canada
{tqu, elsaddik, adler}@site.uottawa.ca
Abstract
Dynamic signature verification (DSV) uses the
behavioral biometrics of a hand-written signature to
confirm the identity of a computer user. This paper
presents a novel stroke-based algorithm for DSV. An
algorithm is developed to convert sample signatures to a
template by considering their spatial and time domain
characteristics, and by extracting features in terms of
individual strokes. Individual strokes are identified by
finding the points where there is a 1) decrease in pen tip
pressure, 2) decrease in pen velocity, and 3) rapid change
in pen angle. A significant stroke is discriminated by the
maximum correlation with respect to the reference
signatures. Between each pair of signatures, the local
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