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초록
Recently, research using image-based deep learning is being conducted to determine similar fonts or recommend fonts. In order to increase the accuracy in judging the similarity of Hangul fonts, a previous study was conducted to calculate the similarity according to the combination of stroke elements. In this study, we tried to solve this problem by designing an integrated model that reflects the weights for each stroke element. By comparing the results of the user's font similarity calculation conducted in the previous study and the weighted model, it was confirmed that there was no difference in the ranking of the influence of the stroke elements. However, as a result of comparison by letter sizes, it was confirmed that there was a difference in the ranking of the influence of stroke elements. Accordingly, we proposed a weighted model set separately for each font size.
키워드
- 제목
- 글꼴 유사도 판단을 위한 한글 형태소의 글자 크기별 영향력 검증 및 분석
- 제목 (타언어)
- Verification and Analysis of the Influence of Hangul Stroke Elements by Character Size for Font Similarity
- 저자
- 윤지애; 송유정; 전자연; 안병학; 임순범
- 발행일
- 2022-08
- 저널명
- 멀티미디어학회논문지
- 권
- 25
- 호
- 8
- 페이지
- 1059 ~ 1068