通过智能删笔简化复杂汉字，保持可读性。
Computer-Aided Multi-Stroke Character Simplification by Stroke Removal
- 用高精度识别模型评估字形可读性，选择影响最小的笔画删除。
- 在5至20笔的1256个汉字上测试，多删笔后仍能保持辨识度。
- 适合中文教学、字体设计及高效文字系统开发者参考。
中文和日文等文字中的多笔画字符结构高度复杂，对母语者和非母语学习者均构成显著挑战。若能在不降低可读性的前提下简化这些字符，将有助于降低非母语者的学习门槛，促进更简洁清晰的字体设计，并提升基于字符的通信系统的效率。本文提出一种系统化方法，通过选择性删除笔画来简化多笔画字符，同时保持整体可读性。具体而言，我们采用高精度字符识别模型评估可读性，移除对识别影响最小的笔画。在包含5、10、15和20笔的1,256个字符类别上的实验结果显示，即使删除多个笔画，许多字符仍保持可辨识性。这一发现表明存在更形式化的简化策略潜力。
原文摘要 · Abstract (English)
Multi-stroke characters in scripts such as Chinese and Japanese can be highly complex, posing significant challenges for both native speakers and, especially, non-native learners. If these characters can be simplified without degrading their legibility, it could reduce learning barriers for non-native speakers, facilitate simpler and legible font designs, and contribute to efficient character-based communication systems. In this paper, we propose a framework to systematically simplify multi-stroke characters by selectively removing strokes while preserving their overall legibility. More specifically, we use a highly accurate character recognition model to assess legibility and remove those strokes that minimally impact it. Experimental results on 1,256 character classes with 5, 10, 15, and 20 strokes reveal several key findings, including the observation that even after removing multiple strokes, many characters remain distinguishable. These findings suggest the potential for more formalized simplification strategies.
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