Abstract
An approach for representing signatures in an offline environment
is presented. The approach first makes a tracing of a signature similar
to the way a human normally does, using hierarchical decision-making for
stroke identification and ordering based on a set of heuristic rules.
The dynamic information from the tracing sequence is then incorporated
into the representation of the signature. A multiresolution
critical-point segmentation method is used to extract local feature
points, at varying degrees of scale and coarseness, for subsequent
representation of the signature. Experimental results are
discussed
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