Temporal evolution in synthetic handwriting
This addresses the need for more realistic synthetic handwriting in biometric applications, though it is incremental by building on existing synthesizers.
The paper tackles the problem of generating synthetic handwriting that evolves realistically over time from childhood to adulthood, achieving results validated through quantitative tests on letter variability and strokes, and subjective evaluations by 30 people.
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.