• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.5
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• pp.703-711
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• 2013

The effort for identifying personal information for example one's personality, based on one's handwriting has been continued in foreign countries, however, there is no research on the graphology for Korean in Korea. In the area of handwriting analysis, of course, they have made attempts to identifying people depended on expert's individual ability or judgment. For these reasons, the academic approach is needed for the graphology for Korean. In this thesis, we performed the frequency analysis, test of difference, cross tabulation analysis, factor analysis, correlation analysis, regression analysis and logistic regression analysis by using the data on the test of personality diagnosis based on 5 factors method and writing habits such as the size and slope of letters for 339 adults. It can be shown that the 5 factors method has high consistency and reliability, so we accept these 5 factors as the personalities. In cross tabulation analysis, it is found that there is significant relationship between sex and the size of letters, hometown and the margin, job and habit. The correlations between 5 factors are very high and we can find the useful relationships between 5 factors and writing habit through regression analysis and correlation analysis. It is difficult and impossible to compare the Graphology between English and Korean because there are various interpretations and structures of Korean that is much different from those of English. But it is very important to try to test and analyze the Graphology in Korean to found the basic theories at the present stage when there is no research on the graphology for Korean.

• The Journal of Korean Academy of Sensory Integration
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• v.15 no.1
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• pp.10-20
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• 2017

Objective : The purpose of this study was to investigate the effect of proprioceptive-vestibular based sensory integrative intervention on handwriting and fine motor function in elementary school students in grades 1 to 3. Methods : In this study, eight students in an elementary school in Busan were enrolled. The intervention was conducted twice a week from May to October, 2016, and a total of 14 intervention sessions were conducted. In order to evaluate the writing ability and the fine-motor exercise ability before and after the intervention, the fine-motor movement items of the Korean alphabet writing test and the Bruininks-Oseretsky Test of Motor Proficiency (BOTMP) evaluation were used. Results : There was a statistically significant difference between the total scores of consonant writing and the Korean alphabet writing assessment after the intervention. In BOTMP-Fine motor, the response speed items showed statistically significant difference. Visual-motor control scores increased during intervention, but the statistical significance was not found. Conclusion : Sensory integration interventions might have positive effects on elementary school students' writing skills and fine motor functions.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.571-573
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• 2002

음성인식과 온라인 필기인식에서 우수한 성능을 보이는 은닉 마르코프(HMM)의 HMM의 구조는 휴리스틱 한 방법에 의해 결정되는 것이 일반적이기 때문에 최적의 모델을 선택하는데 어려움이 있다. 이에 본 논문에서는 HMM의 구조를 체계적인 방법으로 정함과 동시에 변별력의 단점을 개선 할 수 있는 방법으로 Anti-likelihood를 이용한 모델간의 변별력을 살펴보고 최적의 모델 선택 기준인 BIC와의 결합하여, 체계적이고 효율적인 최적 모델 선택이 가능한 방법론에 대해 연구하고 필기데이터에 대해 검증한 결과, 기존의 방법보다 파라미터의 수는 감소되고 인식률이 향상됨을 알 수 있다.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.3
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• pp.132-140
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• 1994

SCRIPT (Symbol/Character Recognition In Pen-based Technology) is an algorithm for on-line recognition of handwriting Hangeul. English upperacase letters, decimal digits, and some keyboard symbols. The shape of handwriting symbols has a large variation even when written by the same person. Though the feature analysis approach using a conventional decision tree is efficient, it is not robust under shape variations and prone to misclassification. Thus, a new method to overcome this shortcoming is necessary. In this paper, a feature analysis algorithm using two fuzzy decision trees which utilize the hierarchical property of the pattern is proposed. The first tree is used to represent the stroke shape, and the other tree is used to represent the relation between the strokes. since this method stores various possibilities. it is robust to shape variations and can readily modify false selections. In addition, there is a large increase in the recognition rate of high-level patterns due to low-level candidated. Experimental results show 91% recognition rate for Hangeul at the recognition speed of 0.33 second per character, and the recognition rate of alphanumerics and some keyboard symbols is 95% at 0.08 second per symbol. This is 8~18% increase in the recognition rate over th method not applying fuzzy decision trees.

• Human Ecology Research
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• v.52 no.1
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• pp.21-31
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• 2014

The purpose of this study was to analyze the types and meanings of calligraphy presented in modern fashion design. Calligraphy refers to beautiful handwriting or fine penmanship in the West, and handwriting with brushstrokes in the East. The expression patterns being used at present can be divided into three categories. Legible calligraphy is focused on readability more than embellishment. Decorative calligraphy places its importance on decoration at the expense of practicality. The third type, harmonious calligraphy, pursues decorativeness and legibility at the same time. Each of these types of calligraphy is expressed in modern fashion with its own purpose: calligraphy for conveying emotional messages, calligraphy as a special brand image, and calligraphy as an expression of formativeness. The first, calligraphy for conveying emotional messages, is used with characters that are familiar to the public. Calligraphy of this type delivers messages confined emotionally to the conscious world, harmonizing calligraphy with words, or expressing readability filled with purity and delight. Second, calligraphy as a special brand image refers to transmitting a distinctive brand image from other companies through employment of a design motive or pattern by expressing the brand logos or names of designers. Third, calligraphy as a expression of formativeness has the function of shaping expressions as motives or patterns, avoiding meanings of words or phrases. It can be represented by the abbreviation or modification of words, or arranging words in different shapes, harmonizing the words with the clothing construction and atmosphere of the other images.

• Journal of architectural history
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• v.26 no.1
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• pp.83-92
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• 2017

This paper studied Lee Han-Choel's career who was known as the first Korean who had participated in several survey and repair projects of Korean historic buildings as a field engineer during the Japanese colonial era. This paper investigated documents and drawings to find out what he had done specifically in the field, and distinguished the records he had written by handwriting comparison method. In addition, the author analyzed the contents of the articles he published and clarified their significance in Korean architectural history. Through this study, the author expected to clarify Lee's historical status as the first Korean modern expert in the field of historic building conservation, and to supplement the research for the history of Korean during the Japanese colonial era.

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.282-291
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• 2022

This research applies a pre-trained bidirectional encoder representations from transformers (BERT) handwriting recognition model to predict foreign Korean-language learners' writing scores. A corpus of 586 answers to midterm and final exams written by foreign learners at the Intermediate 1 level was acquired and used for pre-training, resulting in consistent performance, even with small datasets. The test data were pre-processed and fine-tuned, and the results were calculated in the form of a score prediction. The difference between the prediction and actual score was then calculated. An accuracy of 95.8% was demonstrated, indicating that the prediction results were strong overall; hence, the tool is suitable for the automatic scoring of Korean written test answers, including grammatical errors, written by foreigners. These results are particularly meaningful in that the data included written language text produced by foreign learners, not native speakers.

• International Journal of Contents
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• v.13 no.3
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• pp.38-42
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• 2017

Documents of the last few decades typically include more than one kind of language, so linguistic classification of each word is essential, especially in terms of English and Korean in handwritten documents. Traditional methods mostly use conventional features of structural or stroke features, but sometimes they fail to identify many characteristics of words because of complexity introduced by handwriting. Therefore, traditional methods lead to a considerably more-complicated task and naturally lead to possibly poor results. In this study, convolutional neural network (CNN) is used for classification of English and Korean handwritten words in text documents. Experimental results reveal that the proposed method works effectively compared to previous methods.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.38-41
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• 2014

본 논문에서는 필기 문서 영상을 분석하여 단어 단위로 요소들을 분할하는 방법을 제안한다. 일반적으로 인쇄 문서에 비하여 필기 문서에서는 글자 간 간격이 일정하지 않을 뿐만 아니라 필기자 또는 작성된 언어에 따라 특성이 매우 다르게 나타나기 때문에 단어를 분리하는 것은 어려운 문제로 간주되었고 많은 연구가 진행되었다. 제안하는 방법은 이 문제를 해결하기 위하여 글자 획의 두께를 고려하여 정규화시킨 각 연결 요소간 간격과 간격 안에 존재하는 글자 픽셀의 수로 구성된 2 차원의 특징값을 추출하였다. 이 특징값을 바탕으로, 제안하는 방법은 k-평균 클러스터링을 이용하여 각 텍스트라인을 구성하는 연결 요소간 간격을 단어 사이의 간격과 단어 내부 글자간의 간격으로 분류하였다. ICDAR 2013 Handwriting Segmentation Contest 데이터베이스에 대한 실험 결과 제안하는 방법은 가장 우수한 성능을 나타내었다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.394-397
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• 2007

본 논문에서는 문자 인식의 특징 선별 방법으로 중간점 알고리즘을 이용하는 방법을 제안한다. 영상자료의 특징들로부터 중간점을 선별하고 심볼패턴을 이용하여 필기체 문자를 인식한다. 이 방법은 사전에 많은 심볼 패턴을 학습해야 하지만 한글과 영어의 높은 인식률을 보이고 있으며, 특히 복잡한 문자들의 경우 좋은 결과를 낸다. 여기서는 중간점 알고리즘으로 입력된 데이터를 심볼 패턴과 비교하고, 심볼 영역에 의해 최적 판별 기저를 탐색한 후, 그것을 특징으로 선택한다. 또한 사전 기능과 투명도 기능을 구현하여 필기체 인식을 이용한 여러 활용 방안을 제시한다.