Random Font Generation in Personal Style

Abstract

This article presents a new method for generating random handwriting fonts. Random fonts are rendered differently every time they are output onto the screen. When generating handwriting fonts, it is important to render the individual’s handwriting style as this can facilitate and improve communication. The purpose of this research is to develop a system that simulates an individual’s handwriting style using randomly generated fonts. This method utilizes three main steps: dynamic programming (DP) for matching the original data points of input strokes, a minimum spanning tree method, and random font generation through interpolation. DP matching improves the accuracy of the minimum spanning tree. The minimum spanning tree connects similar shapes in order to produce a new font shape had original features truly. The interpolation method allows a generated font shape to be similar to real handwriting characters but have a new shape. As a result, our system generates random fonts that retain an individual handwriting features, maintaining the wealth of font variation.