• The KIPS Transactions:PartB
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• v.16B no.5
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• pp.377-384
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• 2009

A new algorithm in order to classify various contents in the image documents, such as text, figure, graph, table, etc. is proposed in this paper by classifying contents using texture-based PCA, and by segmenting document images using local entropy-based histogram. Local entropy and histogram made the binarization of image document not only robust to various transformation and noise, but also easy and less time-consuming. And texture-based PCA algorithm for each segmented region was taken notice of each content in the image documents having different texture information. Through this, it was not necessary to establish any pre-defined structural information, and advantages were found from the fact of fast and efficient classification. The result demonstrated that the proposed method had shown better performances of segmentation and classification for various images, and is also found superior to previous methods by its efficiency.

• The Transactions of the Korea Information Processing Society
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• v.3 no.5
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• pp.1273-1280
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• 1996

In order perform high accuracy recognition of text recognition systems, the recognized text must be processed through a post-processing stage using contextual information. We present a system that combines multiple knowledge sources to post-process the output of an optical character recognition(OCR) system. The multiple knowledge sources include characteristics of word, wrongly recognized types of Hangul characters, and Hangul word learning In this paper, the wrongly recognized characters which are made by OCR systems are collected and analyzed. We imput a Korean dictionary with approximately 15 0,000 words, and Korean language texts of Korean elementary/middle/high school. We found that only 10.7% words in Korean language texts of Korean elementary/middle /high school were used in a Korean dictionary. And we classified error types of Korean character recognition with OCR systems. For Hangul word learning, we utilized indexes of texts. With these multiple knowledge sources, we could predict a proper word in large candidate words.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.217-224
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• 2018

The aim of this study is to examine how satires in the English movie, are translated into Korean. Satire is a literary technique in which the writer expresses sarcasm or criticism by using humor or irony. As satire induces laughter by criticising someone or something in the form of humor, it is not easy to convey the same effect to audiences with different social, cultural and political backgrounds. Naturally, satire translation poses great challenge to translators. This study analyzed satirical humors in , based on 4 basic strategies discussed commonly in the previous studies on humor translation, which found out Source Text(ST) preservation prevails, that is to say literal translation. This analysis result is expected to be worth in drawing an effective strategy for satire translation in the convergence perspective of society, culture or politics in other countries.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.10-19
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• 2003

Caption information in news videos can be useful for video indexing and retrieval since it usually suggests or implies the contents of the video very well. In this paper, a new algorithm for extracting and recognizing characters from news video is proposed, without a priori knowledge such as font type, color, size of character. In the process of text region extraction, in order to improve the recognition rate for videos with complex background at low resolution, continuous frames with identical text regions are automatically detected to compose an average frame. The image of the averaged frame is projected to horizontal and vertical direction, and we apply region filling to remove backgrounds to produce the character. Then, K-means color clustering is applied to remove remaining backgrounds to produce the final text image. In the process of character recognition, simple features such as white run and zero-one transition from the center, are extracted from unknown characters. These feature are compared with the pre-composed character feature set to recognize the characters. Experimental results tested on various news videos show that the proposed method is superior in terms of caption extraction ability and character recognition rate.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.417-423
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• 2020

The purpose of this study is to study the elements that make up the interface design of the applicatio, focusing on Android's Google Material Design Guidelines. and propose a way to produce the UI design guide by categorizing it according to form and combination methods. The components provided by the Materials Design Guidelines were disassembled form and attributes, types, and the characteristics. The components of UI design include surfaces, letters, icons, and media, which enable the creation of UI style guides, and the components for the purpose of exploring and communicating information, with different components and rules of use used for the purpose. Based on these results, I would like to propose design criteria for the interface of mobile applications and how to utilize it effectively.

• Journal of the Ergonomics Society of Korea
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• v.29 no.1
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• pp.107-112
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• 2010

Irradiation is a phenomenon that causes white objects on a black background to appear to spread into near dark backgrounds, but the reverse is not. In this study, the effects of font size and thickness of letters on the legibility were investigated in combinations of black letters/white background as well as white letters/black background. Ten subjects who had been no disease of eyes and their eyesight is over 1.0 were recruited and tested subjective assessments of letter sizes for various font sizes (2pt to 80pt) and thickness of letters (normal, bold) under 600lux illumination and 50cm-distance of eyes and target letters for this study. Ming-style font type which was generally used in text of books, papers, and journals were tested in this study. Results showed that generally people subjectively assessed the white letters on black background (W/B) were larger sizes of letters than the black letters on white background (B/W) even both letter sizes were the same in both normal and bold thickness of letters. This phenomenon was happened in case of only over 22 font size (with border line about 22~24pts). Less than 22 font sizes, many people reported that both letters (W/B and B/W) are looks the same sizes in normal as well as bold letters. These findings were interpreted also by the irradiation phenomenon and more detail information was presented in this manuscript.

• The KIPS Transactions:PartB
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• v.12B no.5 s.101
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• pp.521-526
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• 2005

In this Paper, we propose a keyword spotting system as an alternative to searching system for poor quality Korean document images and compare the Proposed system with an OCR-based document retrieval system. The system is composed of character segmentation, feature extraction for the query keyword, and word-to-word matching. In the character segmentation step, we propose an effective method to remove the connectivity between adjacent characters and a character segmentation method by making the variance of character widths minimum. In the query creation step, feature vector for the query is constructed by a combination of a character model by typeface. In the matching step, word-to-word matching is applied base on a character-to-character matching. We demonstrated that the proposed keyword spotting system is more efficient than the OCR-based one to search a keyword on the Korean document images, especially when the quality of documents is quite poor and point size is small.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.7
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• pp.1740-1746
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• 2013

Augmentative and alternative communication(AAC) is a communication tool for those with impairments or restrictions on the production or comprehension of spoken language. Traditional AAC has used a portable board with pictures and texts with which disabled person could be supported by it. Currently, smart phone based AAC researches and developments are actively studying. With emerging concepts of context-aware computing, the mobile devices can provide mobile users with timely information and location based services. We proposed a adjustable AAC system for disabled people of which has variable layouts and selectable items. We also implemented context-ware application for AAC systems including time, location and click count informations on smart phone. The system can adaptively change its layout and select AAC items depending on various situation of disabled persons.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.33-40
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• 2008

The application of OCR moves from traditional formatted documents to the web document and natural scene images. It is usual that the new applications use not only standard fonts of Myungjo and Godic but also various fonts. The conventional databases which have mainly been constructed with standard fonts have limitations in applying to the new applications. In this paper, we generate 243 image samples for each of 2350 Hangul character classes which differs in font size, quality, and resolution. Additionally each sample was varied according to binarization threshold and rotational transformation. Through this process 2187 samples were generated for each character class. Totally 5,139,450 samples constitutes the printed Hangul character database called the PHD08. In addition, we present the characteristics and recognition performance by an commercial OCR software.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.203-214
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• 2015

Before the digital age, the main tools used for printing out letters were pen and brush. Therefore, forms and styles of the languages modelled out during the age also revolved around the pen and brush. However, new tools and techniques introduced in the digital age to express typography put this limit in the shade. In other words, the user can make expressive and experimental typography and typefaces quickly and easily, by learning and utilizing new tools efficiently. As such, this study is to explore those cases, to understand characters and meanings of expressive and experimental typography within the context of typography history, to introduce a new tool, 'Scriptographer' developed by means of the open-source scripting plug-in for Adobe Illustrator, and to discuss the advantages, disadvantages and applicability of this tool. Further on, through case analysis of successful preceding projects, the researcher arranges a practical foundation, and estimates the practicality of this research through experimental typography series, Rush Type and Celestial Type, created by using Scriptographer.