This article presents a general framework for programmed automatic generation of artistic fonts. By parameterizing various font attributes, such as color and aspect ratio, the authors are able to generate artistically styled fonts in almost unlimited variations to suit any type of design requirement. The authors demonstrate their experiments on generating fonts in an abstract style similar to Kandinsky's, built on a collection of the artist's styled patterns. The approach generates fonts composed of vector strokes and is thus highly scalable, limited only by the computer hardware.
ABSTRACT The authors present a programmed experiment to automatically generate art in the style of Kandinsky during his Bauhaus years. The program the authors developed analyzes the artist’s paintings based on his art theories and the authors’ own understanding and observations of his artworks. The authors describe the generation process in detail and share and discuss sample generated images styled according to four of Kandinsky’s paintings. By pseudorandomizing various parameters, the program is able to make each styled image it generates unique. The authors’ approach is highly scalable, limited only by the memory space set in the programming language Processing, which is used for the generation. Potential impacts of the authors’ approach are also discussed.