• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.26-26
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• 2004

• 프린팅코리아
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• s.37
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• pp.124-127
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• 2005

개인용 휴대폰에 연예인 전용 서체가 탑재되고 주문자 상표 부착생산(OEM:Original Equipment Manufacturing) 방식을 활용, 기업이 전용 서체를 보유하는 등 국내 폰트제작 환경이 다각화되고 있다. 또 북대방정(중국 서체)을 개발해 오히려 중국에 역수출하는 서체 업체도 등장하면서 세계화를 추구하는 글꼴 개발 열기는 달아오르고 있다.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.48-49
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• 2003

• Proceedings of the ESK Conference
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• 2004.10a
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• pp.50-50
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• 2004

• Journal of Korea Multimedia Society
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• v.8 no.10
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• pp.1347-1359
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• 2005

We propose an efficient block classification of the document images using the second-order statistical texture features computed from spatial gray level dependence matrix (SGLDM). We studied on the techniques that will improve the block speed of the segmentation and feature extraction speed and the accuracy of the detailed classification. In order to speedup the block segmentation, we binarize the gray level image and then segmented by applying smoothing method instead of using texture features of gray level images. We extracted seven texture features from the SGLDM of the gray image blocks and we applied these normalized features to the BP (backpropagation) neural network, and classified the segmented blocks into the six detailed block categories of small font, medium font, large font, graphic, table, and photo blocks. Unlike the conventional texture classification of the gray level image in aerial terrain photos, we improve the classification speed by a single application of the texture discrimination mask, the size of which Is the same as that of each block already segmented in obtaining the SGLDM.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.152-159
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• 2010

Existing character recognition algorithm recognize characters in simple conditional. It has the disadvantage that recognition rates often drop drastically when input document image has low quality, rotated text, various font or size text because of external noise or data loss. In this paper, proposes the optical character recognition algorithm which using bicubic interpolation method for the catalog retrieval when the input image has rotated text, blurred, various font and size. In this paper, applied optical character recognition algorithm consist of detection and recognition part. Detection part applied roberts and hausdorff distance algorithm for correct detection the catalog of book. Recognition part applied bicubic interpolation to interpolate data loss due to low quality, various font and size text. By the next time, applied rotation for the bicubic interpolation result image to slant proofreading. Experimental results show that proposal method can effectively improve recognition rate 6% and search-time 1.077s process result.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.473-482
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• 2021

Although several Hangul generation models using deep learning have been introduced, they require a lot of data, have a complex structure, requires considerable time and resources, and often fail in style conversion. This paper proposes a model CKFont using the components of the initial, middle, and final components of Hangul as a way to compensate for these problems. The CKFont model is an end-to-end Hangul generation model based on GAN, and it can generate all Hangul in various styles with 28 characters and components of first, middle, and final components of Hangul characters. By acquiring local style information from components, the information is more accurate than global information acquisition, and the result of style conversion improves as it can reduce information loss. This is a model that uses the minimum number of characters among known models, and it is an efficient model that reduces style conversion failures, has a concise structure, and saves time and resources. The concept using components can be used for various image transformations and compositing as well as transformations of other languages.

• The KIPS Transactions:PartB
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• v.17B no.4
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• pp.295-302
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• 2010

Example-based super resolution(EBSR) is a method to reconstruct high-resolution images by learning patch-wise correspondence between high-resolution and low-resolution images. It can reconstruct a high-resolution from just a single low-resolution image. However, when it is applied to a text image whose font type and size are different from those of training images, it often produces lots of noise. The primary reason is that, in the patch matching step of the reconstruction process, input patches can be inappropriately matched to the high-resolution patches in the patch dictionary. In this paper, we propose a new patch matching method to overcome this problem. Using an image observation model, it preserves the correlation between the input and the output images. Therefore, it effectively suppresses spurious noise caused by inappropriately matched patches. This does not only improve the quality of the output image but also allows the system to use a huge dictionary containing a variety of font types and sizes, which significantly improves the adaptability to variation in font type and size. In experiments, the proposed method outperformed conventional methods in reconstruction of multi-font and multi-size images. Moreover, it improved recognition performance from 88.58% to 93.54%, which confirms the practical effect of the proposed method on recognition performance.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.4
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• pp.1-13
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• 2009

VMS(Variable Message Sign) which makes the traffic flow smooth by providing traffic information to road users in real-time has been being installed or operated on the road as part of the detailed ITS system. However, some problems were found as a result of survey on express way currently. In the part of the phase operation, the message interpretation time wasn't defined so that the phase operation was difficult. In the part of the information service, not considering characteristic of the VMS section caused the confusion to drivers. In the part of the message exposure, font, alignment, conversion and composition of the information were not consistent and use of superfluous words and inconsistent use of word having the same meaning brought about the problem on information communication This study established the detailed exposure method based on instructions relative to VMS operation. The method established by defining the number of appropriate phase and setting required function of each individual VMS installation location. The method is as follow. the font type is the GULIM, the message conversion method is simple conversion method, the alignment method is centering alignment method and the color is defined according to each situation. In this study, the preference survey was performed to review the validity of the proposed improvement through the common driver. The results were similar with the pre-study except for the font type. This study established the detailed exposure method based on instructions relative to VMS operation. The method established by defining the number of appropriate phase and setting required function of individual VMS installation location. For the evaluation of status and improvement, preference survey of ordinary drivers and statistics analysis was carried.

• Science of Emotion and Sensibility
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• v.12 no.2
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• pp.193-204
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• 2009

The importance of corporate identity design has been recently highlighted in the marketing. However, logotype among marks that represent the image of a company has been neglected relatively comparing to symbol mark and logo mark. A logotype should be something to represent the personalities and characteristics of a company in suggestive ways. For such reasons, the image expressions by shape are thought to be important. Consequently, the formative aspects of visual communication design should be examined with emphases. However, it is true that studies on the formative aspects regarding logotypes and logo marks, especially studies on the shapes of font types and the responses of consumers to them, are lacking. Accordingly, this study examined the visual shape of logotype preferred by consumers and the shape of logotype preferred by consumers according to the business type of companies. As a result of research, there were differences in the elements of logotype preferred according to the business type of companies; as for construction companies is preferred the body of the type of dotum font with bold stem, without serif, with oblique, straight-line and curve-line endings; as for banks is preferred the body of the type of dotum font without serif, with oblique ending and with one-side curve style of serif, the stem in a middle level; as for laboratories is preferred the body of the type of dotum font with oblique ending, with bold stem and straight-line serif. The elements that should be commonly applied to construction companies, banks and laboratories appear to be the oblique ending but the curve-line ending and shallow stem seemed to be avoided. On the other hand, the serif, ending and gulim appeared to be applied differently according to the business type.