Evaluation of brush-drawn "kanji" characters

Author

Furusho, Y. ; Hirano, K. ; Kotani, K.

Author_Institution

Dept. of Eng., Tohwa Univ., Fukuoka, Japan

Volume

1

fYear

2002

fDate

2002

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.

Keywords

emotion recognition; handwriting recognition; handwritten character recognition; parameter estimation; principal component analysis; beauty elements; brush-drawn kanji characters; character features; emotional response information; human recognition system; mean opinion score estimation; multi-variate analysis; picture features; principal component analysis; regression methods; Filters; Fractals; Gravity; Humans; Image converters; Image edge detection; Information science; Ink; Psychology; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing. 2002. Proceedings. 2002 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7622-6

Type

conf

DOI

10.1109/ICIP.2002.1038194

Filename

1038194