Evolutionary Replication of Calligraphic Characters By A Robot Drawing Platform Using Experimentally Acquired Brush Footprint

Abstract

In this paper, the techniques of an experiment-based brush footprint acquisition method and a genetic algorithm (GA)-based brush stroke generation scheme are combined. The combined method is applied to replicating a given Chinese character. Additionally, a new method to come up with the brush stroke skeleton to facilitate Bezier representation of the brush stroke, rather than the thinning algorithm in previous works, is also incorporated. Actual experiments were conducted to demonstrate the performance of combined method and to compare with the original character. The present paper is part of an endeavour to attempt replicating the works of famous past calligraphers.