Publication Details

Venue

Expert Systems with Applications

Abstracts

In the era of artificial intelligence, although font generation technology has made continuous progress, it still faces challenges such as insufficient automation and high manual labor costs. Existing methods struggle to balance efficiency and design quality, and the efficiency issue is particularly prominent in large-scale Chinese font production. To enhance the efficiency of font production, two core problems must be addressed: (1) Accurate stroke generation: Current intelligent font generation methods often fail to accurately reconstruct stroke structures. Deviations in stroke details and design specifications affect overall consistency and aesthetic quality. (2) Efficient intelligent interaction: Traditional font design tools feature complex interaction processes. Adjusting strokes and styles is time-consuming and labor-intensive, lacking intuitive and intelligent editing mechanisms. This leads to high modification costs and cumbersome workflows. To address these issues, this paper proposes an intelligent font generation system based on stroke reasoning. By recognizing and matching font strokes, the system improves generation accuracy and optimizes the production process. A Chinese character information database is constructed to support efficient and precise stroke-level reasoning and generation. Furthermore, the system enables stroke-level interaction, allowing designers to directly adjust stroke details instead of modifying entire characters, thereby enhancing design flexibility and efficiency.

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