Abstract
The paper shows a method for evaluating the beauty of brush-drawn kanji characters, using emotional response information. This methodology is based on a multi-variate analysis (see Kan, T., Multivariate Statistic Analysis, Gendai-Sugakusha Publishing Company, 1999) of picture features and develops a numerical value for beauty elements. The accuracy of the evaluation of beauty is dependent upon the characteristics of the evaluation models. Character image features are used to compute the beauty elements. Evaluation models are obtained by multi-variate analysis of beauty element models. We then use regression methods to combine these evaluation models into a single number representative of the value of a given image. We also evaluate the characteristics of beauty evaluation models because good evaluation models are indispensable for more accurately estimating the subjective mean opinion score (MOS). This evaluation model is highly accurate and estimates the MOS well.
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