• 프린팅코리아
• /
• s.11
• /
• pp.160-161
• /
• 2003

• 프린팅코리아
• /
• s.11
• /
• pp.112-113
• /
• 2003

• 프린팅코리아
• /
• v.7 no.8
• /
• pp.106-107
• /
• 2008

• 프린팅코리아
• /
• s.61
• /
• pp.118-121
• /
• 2007

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.19 no.11
• /
• pp.2133-2146
• /
• 1994

In this paper, we present a method for dynamic Jaso segmentation and Hangeul recognition using neural network. It uses the feature vector which is extracted from the mesh depending on the segmentation result. At first, each character is converted to 256 dimension feature vector by four direction contributivity and $8\times8$ mesh. And then, the character is classified into 6 class by neural network and is segmented into Jaso using the classification result the statistic vowel location information and the structural information. After Jaso segmentation, Hanguel recognition using neural network is performed. We experiment on four font of which three fonts are used for training the neural net and the rest is used of testing. Each font has the 2350 characters which are comprised in KS C 5601. The overall recognition rates for the training data and the testing data are 97,4% and 94&% respectively. This result shows the effectivness of proposed method.

• Korea Science and Art Forum
• /
• v.19
• /
• pp.281-292
• /
• 2015

For this study, I conducted a survey investigating current situation, user preference, and field experiment. Hospitals utilizing digital sign systems at least five years were selected, which are connected with visual elements (layout, typo, color) used in waiting areas and elements of the systems (time, video time line). The results obtained from the field survey showed that digital sign systems used the color of typo and background contrasted to one another to increase explicitness and to ensure easy understanding of contents. In addition, the Gothic typo with relatively high legibility was adopted. Time and video timeline, which characterize digital sign systems, showed the advertising screens of the hospitals and the guidance of medical treatment at regular intervals. Moreover, survey results on user satisfaction showed that a majority of respondents indicated they had difficulty in understanding digital information conveyed from digital sign systems due to time setting for rotational speed or the small size of typo although most of the users had previous experience with digital sign systems. The highest proportion of respondents (n=86, 86%) answered that information related to medical departments was what they sought most frequently and that this kind of information should be importantly considered in digital sign systems. For the experiment, new samples with restructured contents of current digital sign systems were created and tested while keeping its design unchanged as well as applying these new samples. Study participants were in their 20s through 50s. When the size of typo was larger under the same conditions for all age groups, study participants found the desired information approximately 3.5 seconds faster. In addition, those in their 20-30s and 40-50s showed the time difference of 4.7 seconds for small typo and 6 seconds for large typo, which suggested that there was a difference by age in the amount of time taken in the experiment to find the desired information from the rotating digital sign system regardless of age and the size of typo.

• Archives of design research
• /
• v.11 no.3
• /
• pp.47-55
• /
• 1998

Homepage design on the Web is incredibly growing fast as the integrative information method than any other media. At the beginning the homepage was designed by text mostly, however, it has been changed to use the multimedia. Design in the Web is changed by the development of computer technology. Rnal destination of Web is an user platform that consists of pixel of monitor screen. Monitor requires different approach from printing material because of the limited of range of presentation and the property of light. This paper has studied to find the possibilities of expression of type which can be the basic structure for HTML. By the case study of homepage, it has analyzed the kind of types, presentation method, the number of frequency, and variation of design.

• Journal of KIISE:Software and Applications
• /
• v.28 no.5
• /
• pp.412-421
• /
• 2001

본 논문은 문서 영상에 존재하는 개별 단어들에 대한 속성정보 추출 방법을 제안한다. 단어 단위의 속성 인식은 단어 영상 매칭의 정확도 및 속도 개선, OCR 시스템에서 인식률 향상, 문서의 재생산 등 다양한 응용 가치를 찾을 수 있으며, 메타정보(meta-information) 추출을 통해 영상 검색(image retrieval)이나 요약(summary) 생성 등에 활용할 수 있다. 제안하는 시스템에서 고려하는 단어 영상의 속성은 언어의 종류(한글, 영문), 스타일(볼드, 이탤릭, 보통, 밑줄), 문자 크기(10, 12, 14 포인트), 문자 개수 (한글: 2, 3, 4, 5, 영문: 4, 5, 6, 7, 8, 9, 10), 서체(명조, 고딕)의 다섯 가지 정보이다. 속성 인식을 위한 특징은, 언어 종류 인식에 2개, 스타일 인식에 3개, 문자 크기와 개수는 각각 1개, 한글 서체 인식은 1개, 영문 서체 인식은 2개를 사용한다. 분류기는 신경망, 2차형 판별함수(QDF), 선형 판별함수(LDF)를 계층적으로 구성한다. 다섯 가지 속성이 조합된 26,400개의 단어 영상을 사용한 실험을 통해, 제안된 방법이 소수의 특징만으로도 우수한 속성 인식 성능을 보임을 입증하였다.

• 발명특허
• /
• v.37 no.4
• /
• pp.54-59
• /
• 2012

• The Korean Publising Journal, Monthly
• /
• s.305
• /
• pp.35-35
• /
• 2001