• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1772-1775
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• 2002

In this paper, we propose a Hangul character recognition method in which new letter components as recognition units are introduced and the MLP (multilayer perceptrons) neural networks are employed for two-step recognition of Hangul. To recognize Hangul character, we divide it into two or three recognition units and extract the direction angle features of them to be fed to the corresponding neural network recognizers. The recognition results of neural network recognizers are combined by another neural network. The experiments were conducted on the Hangul characters from real letter envelopes which are collected in the mail centers in Korea and the results showed that our method performs better than the conventional one.

• Journal of Korean Institute of Industrial Engineers
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• v.17 no.2
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• pp.27-37
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• 1991

A recognition algorithm for Hangul is developed by structural analysis to Hangul in this theses. Four major procedures are proposed : preprocessing, type classification, separation of consonant and vowel, recognition. In the preprocessing procedure, the thinning algorithm proposed by CHEN & HSU is applied. In the type classification procedure, thinned Hangul image is classified into one of six formal types. In the separation of consonant and vowel procedure, starting from branch-points which are existed in a vowel, character elements are separated by means of tracing branch-point pixel by pixel and comparison with proposed templates. In the same time, the vowels are recognized. In the recognition procedure, consonants are extracted from the separated Hangul character and recognized by modified Crossing method. Recognized characters are converted into KS-5601-1989 codes. The experiments show that correct recognition rate is about 80%-90% and recognition speed is about 2-3 character persecond in three types of different input data on computer with 80386 microprocessor.

• Journal of the Korean Institute of Telematics and Electronics
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• v.14 no.3
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• pp.12-17
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• 1977

Above all computerization of Hangul composite printing is an urgent task for the effective utilization of computer as a useful mean handling information in this information flooded era. However it is a very difficult problems due to the unique mechanism of the Hangul character combination. There in this paper 13$\times$14 Dot Matrix processing method is applied to get a fine result of the Hangul out look. Further more Hangul input/output data processing is accomplished by the software program developed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.10
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• pp.1009-1018
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• 1991

In this paper, we present a design and inplementation of the Hangul pascal programming language corresponding to Turbo pascal. The instructions of Hangul pascal were easily seledted to be understood of elementary middle, high school syudents, and Dos commands and error messages were translated into Hangul. Hangul-pascal were implemented into C-language under IBM PC XT / AT, MS-DOS.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.11 no.2
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• pp.65-82
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• 2005

The findings from this study are summarized as follows: 1. Hangul 2004 has 16,023 Chinese Character codes. Among them, 15,231 Chinese Character codes are searched by DB, the others are unsearchable codes. 2. Among 15,231 Chinese Character codes of Hangul 2004, 2,471 Chinese Character codes are converted into 2,232 Simplified Chinese Character codes by Traditional and Simplified Chinese Character Converting program in Hangul 2004. 3. The 5th edition TCM-MeSH has 6,385 thesauruses and 2,142 kinds of Chinese Characters. 4. If we use Simplified Chinese Character of Hangul 2004 to search for TCM-MeSH, we will find 94.3% of TCM-MeSH. But If we use Traditional Chinese Character of Hangul 2004 to search for TCM-MeSH, we will find only 34.2% of TCM-MeSH.

• Journal of Korea Multimedia Society
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• v.20 no.4
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• pp.704-712
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• 2017

Various researches on content sensibility with the development of digital contents are under way. Emotional research on fonts is also underway in various fields. There is a requirement to use the content expressions in the same way as the content, and to use the font emotion and the textual sensibility of the text in harmony. But it is impossible to select a proper font emotion in Korea because each of more than 6,000 fonts has a certain emotion. In this paper, we analysed emotional classification attributes and constructed the Hangul font recommendation system. Also we verified the credibility and validity of the attributes themselves in order to apply to Korea Hangul fonts. After then, we tested whether general users can find a proper font in a commercial font set through this emotional recommendation system. As a result, when users want to express their emotions in sentences more visually, they can get a recommendation of a Hangul font having a desired emotion by utilizing font-based emotion attribute values collected through the crowdsourced method.

• Journal of the Ergonomics Society of Korea
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• v.32 no.5
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• pp.449-457
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• 2013

Objective: The aim of this study is to investigate the effect of Hangul font on reading speed when texts are displayed on the computer screen. Background: Reading performance is influenced by fonts. However, there are few studies of Hangul font from a cognitive perspective. Fonts could affect reading performance directly and indirectly, interacting with other visual-perceptual factors such as size, word spacing, and line spacing. Method: In experiment 1, two variables were manipulated; a frame condition(square frame non-square frame) and a stroke condition(serif sans-serif). According to each condition, one of the four fonts was applied to the texts. The height of the four fonts was controlled. The participants were asked to read aloud the presented texts. In experiment 2, the non-square frame fonts were adjusted to have approximately the same size, width, letter spacing, and word spacing as the square frame fonts. The experimental design and task used in experiment 2 were identical with experiment 1. Results: In general, reading speed was faster in the square frame fonts than in the non-square frame fonts. The reading speed was not significantly different across stroke conditions. Conclusion: The frame of Hangul font significantly influenced reading speed. These results suggest that the type of Hangul font is a factor to affect reading performance. Application: The frame of fonts should be considered in designing of new fonts. The square frame fonts should be the preferred choice to enhance legibility.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.9
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• pp.1029-1039
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• 1992

This paper presents the filtering method which is processed on the frequency domain among Hangul character recognition methods. It is processed the Hangul character parrern with spatial positioning modulation and mapped the Hangul character element which have spatial position variant feature onto frequency domain, at this time, normalized spatial position and so normalized the character size in frequency domain. And it is grouped the Hangul character element according to the generating position and set the standard pattern, and used each standard character element pattern with character element filter and filtering the character pattern of Hangul character, it is derived the normalized cross correlation function and the coherence function led to the filtering results, and calculated classification threshold.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.5
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• pp.887-894
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• 2006

This paper proposes a new method that detects the intersection points of handwritten Hangul strokes using run-length. The method firstly finds the strokes' width of handwritten Hangul characters using both horizontal and vertical run-lengths, secondly extracts horizontal and vertical strokes of a character utilizing the strokes' width, and finally detects the intersection points of the strokes exploiting horizontal and vertical strokes. The analysis of both the horizontal and the vertical strokes doesn't use the strokes' angles but both the strokes' width and the changes of the run-lengths. The intersection points of the strokes become the candidated parts for phoneme segmentation, which is one of main techniques for off-line handwritten Hangul recognition. The segmented strokes represent the feature for handwritten Hangul recognition.

• 기호학연구
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• no.54
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• pp.65-92
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• 2018

Hangul 's iconicity based on the scientific creation principle makes it possible to expand into various designs. 'Fun' is a factor for success in the cultural contents industry. Through the design process, it is possible to apply fun elements to the design of cultural contents to meet the purpose. The characteristics of Hangul icons that can be used in cultural contents design, the concept of 'fun', the inducing factors of fun and the production methods of visual fun are summarized. The production method of visual fun has suggested the same way as the design humor creation method in visual communication design. 10 types of examples of Hangul in relation to visual 'fun' have been analyzed by the semiotic approach. This suggests a design methodology for the creation of fun elements that utilize Hangul Iconicity in cultural contents design in the future.