• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.2
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• pp.239-249
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• 1993

In this paper, we present a design and implementation of Hangul C Programming language corresponding to Turbo C. The instruction of Hangul C were selected to be easily understood by elementary middle, high school students, and DOS commands and error message were translated into the Hangul.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.9
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• pp.17-26
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• 1992

This paper proposed an analysis method of common form for phonemes which is able to construct a Hangul syllable and designed the Choseong, Jungseong, and Jongseong phoneme fonts based on analized information. Also, It presents the algorithm which is able to construct the output of all Hangul syllables using 473 phoneme fonts. Through the experiment, an analized information and output algorithm could be applied to the design of Hangul fonts, effectively.

• Archives of design research
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• v.13 no.1
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• pp.103-110
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• 2000

Hangul came to life as part of the East Asian culture of the Chinese ideograph. Korean letter-culture is starkly different from that of Western letter-culture. In the Orient, letters were sacred and incantory; they were objects of awe, which incorporated elements of the majestic, mysterious, and of ritual. Here we had cultural tradition that acknowledged the intrinsic value of the letters. And it was in this context that Hangul was born as a completely phonetic system of writing. However, the characteristics of Hangul are quite different from those of Chinese ideographs, which are designed to convey a certain meaning. Despite the fact that Hangul is phonetic, its roots lie most definitely in the image of Chinese ideographs. This is something that contrasts with the roots of the Latin alphabet, which have been lost in its long journey of evolution. As a phonetic writing system, a notable characteristic of Hangul is that it has this and the attributes of image. In other words, in that Hangul is a compound, it shares some of the same attributes as Chinese ideographs, but also in that it is a phonetic writing system it is dose to the Latin alphabet. Hangul is definitely a visual writing system that has its origins in the visual culture of Chinese characters as well as being functionally a highly developed phonetic writing system. In short, Hangul has both of these attributes in one writing system. These characteristics of Hangul, for us living in the era of the image, are parts that awaken us to the meaning of existence in our visual culture. Unique among the world's writing systems, the identity of Hangul typography will become none other than the essence of our visual culture.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.953-964
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• 2020

Ever since media contents took over the world, the importance of typography has increased, and the influence of fonts has be n recognized. Nevertheless, the current Hangul font system is very poor and is provided passively, so it is practically impossible to understand and utilize all the shape characteristics of more than six thousand Hangul fonts. In this paper, the characteristics of Hangul font shapes were selected based on the Hangul structure of similar fonts. The stroke element detection training was performed by fine tuning Faster R-CNN Inception v2, one of the deep learning object detection models. We also propose a system that automatically extracts the stroke element characteristics from characters by introducing an automatic extraction algorithm. In comparison to the previous research which showed poor accuracy while using SVM(Support Vector Machine) and Sliding Window Algorithm, the proposed system in this paper has shown the result of 10 % accuracy to properly detect and extract stroke elements from various fonts. In conclusion, if the stroke element characteristics based on the Hangul structural information extracted through the system are used for similar classification, problems such as copyright will be solved in an era when typography's competitiveness becomes stronger, and an automated process will be provided to users for more convenience.

• Archives of design research
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• v.16 no.1
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• pp.5-14
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• 2003

As the digital technology has improved, the numbers of Hangul font users have increased and their individual needs and taste are diversified. Therefore new and various Hangul fonts out of traditional form are developed and used. But under the present font classification system, it is hard to compare and analyze these various fonts. And the present classification system is hard to be the font user's guide for proper use of various Hangul fonts. For the better use of Hangul font, to diversify the font classification system is needed. So we propose the development of these thru classification standards. First, structural classification based on the structural character of Hangul. Second, image classification based on the visual images of each font. And third, usage classification based on the fonts proper usage in various media. For the development of various typographically balanced fonts and for the suitable and effective use of the various font, we must try to build the font classification system based on the diversified classification standards and build Hangul font database based on this classification system. Through these studies, we can expect the development of good quality fonts and the better use of these fonts.

• KIISE Transactions on Computing Practices
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• v.21 no.11
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• pp.699-705
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• 2015

Thousands of glyphs are necessary for Hangul font generation. It is mandatory to generate the required glyphs before producing Hangul font. This paper, entitled "Multiple Master Glyph Algorithm", presents an process that generates a target number of glyphs automatically from a very small number of glyphs by using a combination rule setting and a glyph interpolation method. A font editor, which is able to generate Hangul glyphs or fonts, is developed based on this algorithm. The editor generates a target number of fundamental glyphs automatically by using a combination rule setting and four master glyphs, which can be set up by a user. The automatically generated glyphs can be used to generate a target font by combining KSX1001 standard Hangul 2350 characters or Unicode standard Hangul 11172 characters automatically. The efficiency of the proposed Hangul editor is analyzed quantitatively in this paper through application to several commercial typefaces.

• Journal of Advanced Navigation Technology
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• v.19 no.2
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• pp.153-160
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• 2015

This paper has studied about the scrambling occurrence frequency in UTF-8 coding system for Unicode Hangul Jamo codes. The scrambling methode applied in the study is HDB-3 in AMI line coding that is international transmission standard. In the study, the source coding rule was applied to analysis the scrambling occurrence. The quantity of the scrambling occurrence was calculated by the number of times and frequency rate of the scrambling occurrence in Hangul Jamo and Compatibity Hangul Jamo. In the case of Hangul Jamo, the number of times and frequency rate in Unicode and UTF-8 were 24times, 52% and 148times, 228% respectively. In the case of Compatibility Hangul Jamo, that were 10times, 14% and 83times, 131% respectively. As a result, when Hangul Jamo and Compatibility Hangul Jamo in UNICODE were transformed to UTF-8, the scrambling frequency rates were increased 340% and 851% respectively.

• Korean Journal of Cognitive Science
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• v.3 no.2
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• pp.249-270
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• 1992

The purpose of this paper is to classify the types of input characters,printed Hangul characters,using Maximum Run Length Projection(MRLP)that is used to extract features of input character.Because the number of Hangul characters is large and its structure is complex,there exists close similarities among characters.This paper,therefore,tried to increment the type classification rate using fuzzy resoning.The Maximum Run Length Projection is very immune to noise,and also useful to extracting the demanding information efficiently.In a test case with the most frequently use 917 printed Hangul characters,it achieved 98.58%correct classification rate.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.76-80
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• 1993

In this paper we discuss optimization of neural network parameters, such as inclination of the sigmoid function, the numbers of the input layer's units and the hidden layer's units, considering application to recognition of hand written Hangul. Hangul characters are composed of vowels and consonants, and basically classified to six patterns by their positions. Using these characteristics of Hangul, the pattern of a given character is determined by its peripheral distribution and the other features. After then, the vowels and the consonants are recognized by the optimized neural network. The constructed recognition system including a neural network is applied to non-learning Hangul written by some Korean people, which are the names randomly taken from Korean spiritual and cultural research institute.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.5
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• pp.43-51
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• 1993

A new Hangul code called Truecode is developed for accomodating to the future computing environments of graphical user interface and multimedia as well as for corresponding with the invention principle of Hangul. Truecode is not a forced two-byte code of syllable unit, as completion-type of combination-type, currently used, but a one byte code of phoneme unit, which can represent initial consonant, vowel, and final consonant each. It is quite different from three-byte code of syllable unit and also does not require the fill code used for three-byte code. We expect great contribution to the Hangul culture from Truecode's some important following features. It can express all the Korean characters we may imagine and does not cause any problem in communication. As well as we may use direct connection font, we can assign ont-to-one correspondence between Truecode and a keyboard with three sets. Truecode has a good advantage in developing application softwares of Hangul and it can nicely be applied to the fields of speech recognition and artificial intelligence using natural language.