Research on the Optimization of Calligraphic Font Design Supported by Bionic Algorithm

Abstract

In order to improve the optimization effect of calligraphy fonts, this paper firstly analyzes the correlation between calligraphy art and font design, and combines median filtering to deal with the calligraphy images to improve the clarity of fonts. Then the bionic algorithm is used to unfold the modeling of font styles to generate new calligraphy fonts. The font strokes are categorized into a sequence of skeleton features to determine the basic geometric relationship between fonts. The calligraphic font features are categorized to make the generated calligraphic image readable. Finally limit the relative change magnitude of feature vectors to construct the font design optimization process. The generated calligraphic fonts are evaluated in terms of font completeness, image quality and coverage, and it is concluded that the simulation algorithm has a font completeness of more than 95%, a peak signal-to-noise ratio between 34db-36db, and a font coverage of more than 90%, which are all better than the other two algorithms. Therefore, combining the simulation algorithm and the art of calligraphy can generate calligraphy fonts with innovative styles and moods, and the optimization effect is better, which improves the readability of calligraphy fonts and makes more and more people pay attention to the field of calligraphy.