• 한국멀티미디어학회논문지
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• 제23권12호
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• pp.1552-1564
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• 2020

As various styles of fonts were used, there were problems such as output errors due to uninstalled fonts and difficulty in font recognition. To solve these problems, research on font recognition and recommendation were actively conducted. However, Hangul font research remains at the basic level. Therefore, in order to automate the comparison on Hangul font similarity in the future, we analyze the influence of each stroke element property. First, we select seven representative properties based on Hangul stroke shape elements. Second, we design a calculation model to compare similarity between fonts. Third, we analyze the effect of each stroke element through the cosine similarity between the user's evaluation and the results of the model. As a result, there was no significant difference in the individual effect of each representative property. Also, the more accurate similarity comparison was possible when many representative properties were used.

• 한국멀티미디어학회논문지
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• 제25권8호
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• pp.1059-1068
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• 2022

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.

• 한국멀티미디어학회논문지
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• 제25권8호
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• pp.999-1006
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• 2022

The use of appropriate fonts is not only an aesthetic point of view, but also a factor influencing the reinforcement of meaning. However, it is a difficult process and wastes a lot of time for general users to choose a font that suits their needs and emotions. Therefore, in this study, keywords and fonts to be used in the experiment were selected for emotion-based font recommendation, and keyword values for each font were calculated through an experiment to check the correlation between keywords and fonts. Using the experimental results, a prototype of a keyword-based font recommendation system was designed and the possibility of the system was tested. As a result of the usability evaluation of the font recommendation system prototype, it received a positive evaluation compared to the existing font search system, but the number of fonts was limited and users had difficulties in the process of associating keywords suitable for their desired situation. Therefore, we plan to expand the number of fonts and conduct follow-up research to automatically recommend fonts suitable for the user's situation without selecting keywords.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.953-964
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• 2020

Ever since media contents took over the world, the importance of typography has increased, and the influence of fonts has be n recognized. Nevertheless, the current Hangul font system is very poor and is provided passively, so it is practically impossible to understand and utilize all the shape characteristics of more than six thousand Hangul fonts. In this paper, the characteristics of Hangul font shapes were selected based on the Hangul structure of similar fonts. The stroke element detection training was performed by fine tuning Faster R-CNN Inception v2, one of the deep learning object detection models. We also propose a system that automatically extracts the stroke element characteristics from characters by introducing an automatic extraction algorithm. In comparison to the previous research which showed poor accuracy while using SVM(Support Vector Machine) and Sliding Window Algorithm, the proposed system in this paper has shown the result of 10 % accuracy to properly detect and extract stroke elements from various fonts. In conclusion, if the stroke element characteristics based on the Hangul structural information extracted through the system are used for similar classification, problems such as copyright will be solved in an era when typography's competitiveness becomes stronger, and an automated process will be provided to users for more convenience.

• 한국멀티미디어학회논문지
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• 제23권7호
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• pp.850-861
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• 2020

Hangul is a language that is composed of initial, medial, and final syllables. It has 11,172 characters. For this reason, the current method of designing all the characters by hand is very expensive and time-consuming. In order to solve the problem, this paper proposes an automatic Hangul font generation system and evaluates the standards for mapping Hangul characters to produce an effective automated Hangul font generation system. The system was implemented using character generation engine based on deep learning CycleGAN. In order to evaluate the criteria when mapping characters in pairs, each criterion was designed based on Hangul structure and character shape, and the quality of the generated characters was evaluated. As a result of the evaluation, the standards designed based on the Hangul structure did not affect the quality of the automated Hangul font generation system. On the other hand, when tried with similar characters, the standards made based on the shape of Hangul characters produced better quality characters than when tried with less similar characters. As a result, it is better to generate automated Hangul font by designing a learning method based on mapping characters in pairs that have similar character shapes.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.123-124
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• 2021

본 논문은 기존 폰트 디자인을 고찰하여 한글과 라틴 알파벳 디자인의 형태 유사성을 향상시키기 위한 기초 자료를 제공한다. 고찰을 위해 윤디자인 대표 폰트 20종을 선정하였다. 형태적 관점에서 글자 디자인적 유사성을 찾기 위해 낱자, 낱글자, 낱말, 문장을 기준으로 고찰하였다. 윤디자인 대표 폰트 20종의 한글과 라틴 알파벳 글자 디자인의 결과는 다음과 같다. 첫째, 낱자(자소) 디자인은 동일한 형태이지만, 크기와 비례가 변화할 수 있다. 둘째, 낱글자(음절) 디자인은 낱글자 전체의 디자인을 위해 부분적으로 다른 형태를 디자인할 수 있다. 셋째, 낱말(단어) 디자인은 낱말의 우월효과를 고려하여야 한다. 넷째, 문장의 디자인은 글줄의 흐름을 고려하여 글자의 크기, 비례와 기준선을 디자인하여야 한다.

• 한국멀티미디어학회논문지
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• 제23권11호
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• pp.1361-1371
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• 2020

Fonts have developed as a visual element, and their influence has rapidly increased around the world. Research on font automation is actively being conducted mainly in English because Hangul is a combination character and the structure is complicated. In the previous study to solve this problem, the stroke element of the character was automatically extracted by applying the object detection by component. However, the previous research was only for similarity, so it was tested on various print style fonts, but it has not been tested on other characters. In order to extract the stroke elements of all characters and fonts, we performed a performance analysis experiment according to the expansion character in the Hangul stroke element extraction training. The results were all high overall. In particular, in the font expansion type, the extraction success rate was high regardless of having done the training or not. In the character expansion type, the extraction success rate of trained characters was slightly higher than that of untrained characters. In conclusion, for the perfect Hangul stroke element extraction model, we will introduce Semi-Supervised Learning to increase the number of data and strengthen it.

• Communications for Statistical Applications and Methods
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• 제15권6호
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• pp.925-937
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• 2008

본 논문에서는 주식시장에서 거래되는 다수의 주식거래종목들을 몇 개의 그룹으로 군집화하는 주제를 연구한다. 시간에 관계없이 분산이 일정한 ARMA모형과 다르게, 주가, 환율 등의 금융시계열자료에서는 조건부 이분산성을 따르게 된다. 또한, 많은 사람들이 금융시계열자료에서 관심을 갖는 것은 바로 이 변동성이다. 그러므로, 이 연구에서는 조건부 이분산성을 모형화하기에 적합하다고 알려진 일반화 조건부 이분산성 자기회귀모형에 초점을 맞춘다. 먼저 두 개의 주식종목들 사이에 변동성(volatility)의 유사성 그리고 구조의 유사성을 재는 거리를 정의하고, 모의실험을 수행한다. 실증자료로 최근 3년 동안 관찰된 국내 11개 주가의 수익률을 변동성과 구조에 따라 군집화한다.