해서체의 시각적 공간체계를 중심으로 한 고문서 서체 디지털 복원 방안 연구 - 중국,「창려선생집(昌黎先生集)」을 중심으로 -

Abstract

There are a lot of works on ancient Chinese characters, which mainly focus on the philology, history and calligraphy of ancient Chinese characters. In addition, the preservation of ancient documents is also abundant, and not only the country, but also various font-related companies are promoting the digitalization restoration of ancient typefaces, and fonts with historical foundations are being launched as new images. However, there are very few treatises on the restoration and design of ancient characters. Although some design methods have been proposed in the researches related to Chinese character morphology, strokes, structure, etc., they are only extremely common methodologies. There is little research that proposes quantitative reference standards for font space. Therefore, the purpose of this research is to propose a standard system and a digital restoration scheme for the spatial structure of Chinese characters. As for the research methods, the study adopts an experimental research method and uses digital image processing system to quantify the glyphs of Chinese characters. At the same time, it specifically quantifies the shape, stroke, inner area, interior space area and word blocks of Chinese characters.The results of experimental analysis show that the spatial processing of fonts for text needs to consider the stability and balance of fonts. The number of strokes presents a positive (+) relationship on strokes, inner area, interior space area and block area. When designing, it is advisable to remove extreme values that appear in spatial relationships. The interior space area of Chinese characters is the core of character recognition. According to historical data, the fitting trend values of strokes, inner area and interior space area can be used as reference standards for Chinese font design. In particular, the algorithm model made for this study broadens the data extraction and inspection path of fonts and spatial systems. It can help font designers perform reverse verification when evaluating font quality.