• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.688-690
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• 2004

최근 전자화된 문서 영상을 효율적으로 관리하고 검색하기 위한 문서구조분석 방법과 문서의 자동 분류에 관한 많은 연구가 발표되고 있다. 본 논문에서는 NMF(non-negative matrix factorization) 알고리즘을 사용하여 폰트를 자동으로 분류하는 방법을 제안한다. 제안된 방법은 폰트의 구분 특징들이 공간적으로 국부성을 가지는 부분으로 표현될 수 있다는 가정을 바탕으로, 전체의 폰트 이미지들로부터 각 폰트들의 구분 특징인 부분을 학습하고, 학습된 부분들을 특징으로 사용하여 폰트를 분류하는 방법이다. 학습된 폰트의 특징들은 계층적 군집화 알고리즘을 이용하여 템플릿을 생성하고, 테스트 패턴을 분류하기 위하여 템플릿 패턴과의 EMD(earth mover's distance)를 사용한다. 실험결과에서 폰트 이미지들의 공간적으로 국부적인 특징들이 조사되고, 그 특징들의 폰트 식별을 위한 적절성을 보였다. 제안된 방법이 기존의 문자인식. 문서 검색 시스템들의 전처리기로 사용되면. 그 시스템들의 성능을 향상시킬 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.946-949
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• 2019

한 벌의 한글 글자체를 만드는데 일반적으로 많은 제작 비용과 시간이 소요된다. 따라서 폰트 제작의 어려움을 덜기 위해, 사용자가 대표 글자들을 입력하면 그 글자들의 디자인 특성을 딥러닝 기술을 이용하여 학습한 모델이 나머지 글자들을 자동 생성해주는 시스템 구축한다면 폰트 제작이 훨씬 용이해질 뿐만 아니라 저작권 문제로부터 자유로워질 것이다. 이와 관련된 선행연구를 실행하고 분석해 본 결과 데이터 전처리 과정에서 글자가 잘리거나 크기가 맞지 않아 제대로 된 데이터셋이 구축되지 않는 문제가 있음을 발견하였다. 본 논문에서는 이러한 문제를 해결하기 위해 템플릿에서 자동적으로 글자영역을 추출하고 이미지를 보정하는 전처리 과정과 함께 기존 모델에서 새로운 필터를 추가하여 학습 성능을 높이는 방법을 제안한다. 이를 통해 기존 연구에서 측정된 손실값을 낮춘 결과를 확인했으며 결과적으로 실제 글자체와 더욱 유사한 사용자 맞춤형 글자체를 제공할 수 있을 것이다.

• Journal of Korean Medical classics
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• v.32 no.1
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• pp.105-116
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• 2019

Objectives : There are many secluded Chinese characters - so called Byeokja (僻字) in ancient classic literature, and Chinese characters that are not registered in Unicode and Variant characters (heterogeneous characters) that cannot be found in the current font sets often appear. In order to register all possible Chinese characters including such characters as units of information exchange, this study attempts to propose a method to encode the morphological information of Chinese characters according to certain rules. Methods : This study suggests the methods to encode the connection between the nodules constituting the Chinese character and the coordinates of the nodules. In addition to that, rules for expressing information about curves, expressions of aspect ratios of characters, rules for minimizing coordinate lines, and rules for expressing aggregation status of character components are added. Results : Through the proposed method, it is possible to generate codes of a certain length by extracting only information expressing the morphological configuration of characters. Conclusions : The method of character encoding proposed in this study can be used to distinguish variant characters with small variations in Byeokja, new Chinese characters and character strokes and to store and search them.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1070-1075
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• 2019

In this paper, I propose an algorithm to generate an input digit image for a digit recognition system by detecting a digit string in an image and segmenting the digits constituting the digit string. The proposed algorithm detects blobbed digit string through blob detection, designates a digit string area and corrects digit string skew using the detected blob information. And the proposed algorithm corrects the digit skew and determines the boundary points for the digit segmentation in the corrected digit sequence using three CPgraphs newly defined in this paper. In digit segmentation experiments using the image group including digit strings printed with a range of the font sizes and the image group including handwritten digit strings, the proposed algorithm successfully segments 100% and 90% of the digits in each image group.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.95-101
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• 2019

Recently, there have been many issues related to text recognition using Tesseract. One of these issues is that the text recognition accuracy is significantly lower for smaller fonts. Tesseract extracts text by creating an outline with direction in the image. By searching the Tesseract database, template matching with characters with similar feature points is used to select the character with the lowest error. Because of the poor text extraction, the recognition accuracy is lowerd. In this paper, we compared text recognition accuracy after applying various super-resolution methods to smaller text images and experimented with how the recognition accuracy varies for various image size. In order to recognize small Korean text images, we have used super-resolution algorithms based on deep learning models such as SRCNN, ESRCNN, DSRCNN, and DCSCN. The dataset for training and testing consisted of Korean-based scanned images. The images was resized from 0.5 times to 0.8 times with 12pt font size. The experiment was performed on x0.5 resized images, and the experimental result showed that DCSCN super-resolution is the most efficient method to reduce precision error rate by 7.8%, and reduce the recall error rate by 8.4%. The experimental results have demonstrated that the accuracy of text recognition for smaller Korean fonts can be improved by adding super-resolution methods to the OCR preprocessing module.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1470-1473
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• 2013

본 논문에서는 안드로이드 플랫폼에서 3D 타이포그래피를 쉽게 표현할 수 있도록 지원하는 라이브러리를 설계 구현하였다. 현재까지 모바일 플랫폼에서 3D 타이포그래피를 지원하기 위한 라이브러리는 iOS에서 사용가능한 FTGL ES만이 공개되었고 이를 직접 안드로이드 플랫폼에서 사용할 수 없으며 제공되는 3D 표현 기능 또한 제한적이었다. 본 연구에서는 iOS용 FTGL ES를 안드로이드 플랫폼에서 사용할 수 있도록 변환하고 OpenGL ES기능을 활용하여 다양한 3D 폰트 표현을 지원할 수 있는 3D 폰트 라이브러리를 개발하였다. Freetype 라이브러리를 통해 폰트의 Glyph 정보들을 얻고 이를 이용해 테두리, 양각, 음각 등 다양한 3D 문자 표현 기능을 구현하였고, 공간상에서 문자들의 배치를 수학적으로 모델링하여 다양한 3D 문자 배치 기능을 구현하였다. 개발된 3D 폰트 라이브러리를 이용하여 다양하게 문자들을 3D 공간에 표현할 수 있으면서, 기존 3D 타이포그래피 표현 방법들에 비해 더 쉽고 빠르게 3D 타이포그래피를 표현할 수 있도록 지원한다.

• Journal of Korea Multimedia Society
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• v.24 no.8
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• pp.1184-1191
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• 2021

In a pop song, the creator's intention is communicated to the user through music and lyrics. Lyric meaning is as important as music, but in most cases lyrics are delivered to users in a static form without non-verbal cues. Providing lyrics in a static text format is inefficient in conveying the emotions of a music. Recently, lyrics video with kinetic typography are increasingly provided, but producing them requires expertise and a lot of time. Therefore, in this system, the emotions of the lyrics are found through the analysis of the text of the lyrics, and the deep learning model is trained with the data obtained by converting the melody into a Mel-spectrogram format to find the appropriate emotions for the music. It sets properties such as motion, font, and color using the emotions found in the music, and automatically creates a kinetic typography video. In this study, we tried to enhance the effect of conveying the meaning of music through this system.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.411-427
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• 2022

Digging historical and cultural information from seals in ancient books is of great significance. However, ancient Chinese seal samples are scarce and carving methods are diverse, and traditional digital image processing methods based on greyscale have difficulty achieving superior segmentation and recognition performance. Recently, some deep learning algorithms have been proposed to address this problem; however, current neural networks are difficult to train owing to the lack of datasets. To solve the afore-mentioned problems, we proposed an SEL-RefineMask which combines selector of feature pyramid network (SEL-FPN) with RefineMask to segment and recognize seals. We designed an SEL-FPN to intelligently select a specific layer which represents different scales in the FPN and reduces the number of anchor frames. We performed experiments on some instance segmentation networks as the baseline method, and the top-1 segmentation result of 64.93% is 5.73% higher than that of humans. The top-1 result of the SEL-RefineMask network reached 67.96% which surpassed the baseline results. After segmentation, a vision transformer was used to recognize the segmentation output, and the accuracy reached 91%. Furthermore, a dataset of seals in ancient Chinese books (SACB) for segmentation and small seal font (SSF) for recognition were established which are publicly available on the website.

• Journal of Korea Multimedia Society
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• v.25 no.7
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• pp.953-963
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• 2022

We suggest the development of a mobile muscular savings account application as a more effective and consistent strategy to avoid sarcopenia, one of the elderly diseases, based on the researcher's experience conducting a handwritten 'muscle saving account' in the S city of the metropolitan area. The analysis of currently existent healthcare-related applications shows that muscle strength improvement and maintenance applications are needed to improve easy use and access without burden for elderly users because there are many functions, and it can be difficult for the elderly to use the application. A survey of participants who used handwritten 'muscle savings accounts' was conducted before the design development to measure user satisfaction. Based on this, the suggested application's design is similar to the handwritten type, functionalities are modified for easy usage by the elderly, and information is intuitively comprehended and presented properly using color contrast and Sans serif font. We plan to conduct a survey of the elderly who did not participate in the project as part of follow-up research, and afterward continue the research on the development of customized applications optimized for the prevention of sarcopenia in the elderly for muscle strength improvement and maintenance based on the results.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 2002.10b
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• pp.115-116
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• 2002

This study was carried out as one of efforts to overcome difficulties in air bearing design due to low stiffness and low damping. Hydrodynamic effects on hydrodynamic stiffness of a fluid film in a high speed air bearing with tow-row air sources are investigated. The hydrodynamic effects by the high speed over DN 1,000,000 and eccentricity of a proceeding which are not considered in conventional design of an air bearing need to be reconsidered. The hydrodynamic effects, which dominantly influence on the load capacity of air bearing, are caused mainly by proceeding speed, eccentricity, and the source positions. The two-row source arrangement in the air bearing produces quite unique hydrodynamic effects with respect to pressure distribution of the air film. Optimal arrangement of the two-row sources improves performance of an air bearing in film reaction force and loading capacity of high speed spindles. This study compares the pressure distribution by numerical simulation as a function of eccentricity of proceeding and the source positions. The air source position 1/7L form one end of an air bearing was found to be superior to source position of 1/4L. The dynamic stiffness were obtained using a two-dimensional cutting method which can directly measure the cutting reaction forces and the displacements of the spindle in two directions using a tool dynamometer and transducer sensors. Heat generation in the air film can not be negligible over the speed of DN 2,000,000. In order to analysis effects of heat generation on the characteristics of air bearing, high cooling bearing spindle and low cooling bearing spindle were tested and compared. Characteristics of the frequency response of shaft and motion of run out errors were different for the spindle. The test results show that, in the case of low cooling bearing spindle, the stiffness became smaller due to heat generation. The results, which were obtained for high speed region, may be used as a design information for spindle which can be applied to precision devices such as ultra precision grinding and ultra high speed milling.