Temporal evolution in synthetic handwriting
Cristina Carmona-Duarte Miguel A. Ferrer Antonio Parziale Angelo Marcelli
New methods for generating synthetic handwriting images for biometric
applications have recently been developed. The temporal evolution of
handwriting from childhood to adulthood is usually left unexplored in these
works. This paper proposes a novel methodology for including temporal evolution
in a handwriting synthesizer by means of simplifying the text trajectory plan
and handwriting dynamics. This is achieved through a tailored version of the
kinematic theory of rapid human movements and the neuromotor inspired
handwriting synthesizer. The realism of the proposed method has been evaluated
by comparing the temporal evolution of real and synthetic samples both
quantitatively and subjectively. The quantitative test is based on a visual
perception algorithm that compares the letter variability and the number of
strokes in the real and synthetic handwriting produced at different ages. In
the subjective test, 30 people are asked to evaluate the perceived realism of
the evolution of the synthetic handwriting.