Synthetic parameters for handwriting classification

In this paper, we present a new family of parameters for handwriting analysis based on the fractal behavior of writing. These parameter allow the classification of writing into different families which could be used as a preliminary step for recognition methods. They also constitute a way to quantify some legibility properties, and we show that they can be useful for cognitive approaches to handwriting analysis.