特定中國書法風格之知識推論模擬

Abstract

在中國文化藝術中，書法是極為重要的一環，其中又以各個朝代的多位書法名家最廣為大家熟悉，如：顏真卿、柳公權等。書法家利用獨特的書寫工具–毛筆，依據中國漢字造型的特性，透過藝術構思，寫出不同的筆觸，形成各自獨特的書法風格。本篇論文的目的，便是利用電腦合成技術，模擬出特定書法名家筆下的真跡。我們結合了毛筆模組以及專家系統，將書法家筆下的各種筆法加以分類，設計完善的推論規則，產生出和書法家極為相似的書法字。同時配合手寫板的輸入方式，建立一個可供使用者便利地臨摹中國書法字的系統。

The Chinese calligraphy plays an important role in Chinese art. There are many famous calligraphers in different dynasties, such as Yan Zhen-Qing (顏真卿) or Liu Gong-Quan (柳公權). They use the Chinese brush stroke to generate Chinese characters with different writing styles expressing their unique artistry. The purpose of this thesis is to synthesize the specific Chinese calligraphic style of one of the famous calligraphers mentioned before. We integrate the Chinese brush stroke model with expert system, classifying all the stroke types, designing complete inference rules, to generate Chinese characters that are closely similar to those written by the calligrapher. We also use tablet pen as an input device to create a convenient interface for users to write by imitating copybooks for calligraphy.