• Proceedings of the IEEK Conference
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• 2000.11c
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• pp.145-148
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• 2000

This paper proposes a character segmentation method for Korean letter address image. The poor quality of image binarization results in broken character strokes. To overcome this problem, two steps of processing ate introduced. The first one is to merge broken characters to generate character candidates, and the other one is to reduce the complexity of segmentation graph path. These two steps do not use recognition information to keep in high-speed.

• 중국학논총
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• no.63
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• pp.1-28
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• 2019

This study set out to examine the variant forms in the Korean block-printed edition of YouYangZaZu(酉陽雜俎)n terms of modifications of writing forms, increase and decrease of strokes, shortening and lengthening of strokes, connection and interruption of strokes, replacement of Pyeonbang(偏旁), and changing structures and positions. The study also aims to investigate the frequent uses and characteristics of variant forms. The findings show that the variant forms of YouYangZaZu(酉陽雜俎) include characters in some parts. There are 1,500 variant forms in the Korean block-printed edition of YouYangZaZu(酉陽雜俎)ith numerous characters of both various modifications and increasing or decreasing strokes based on the same characters. There are mixed uses of block letters and variant forms throughout the book from a single form to ten different forms of a character.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.2
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• pp.229-236
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• 2016

In this paper, we suggest new technology that can draw characters at a long distance by tracking a hand and analysing the trajectories of hand positions. It's difficult to recognize the shape of a character without discriminating effective strokes from all drawing strokes. We detect end points from input trajectories of a syllable with camera system and localize strokes by using detected end points. Then we classify the patterns of the extracted strokes into eight classes and finally into two categories of stroke that is part of syllable and not. We only draw the strokes that are parts of syllable and can display a character. We can get 88.3% in classification accuracy of stroke patterns and 91.1% in stroke type classification.

• Journal of Digital Contents Society
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• v.10 no.4
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• pp.529-536
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• 2009

Interest in Chinese edutainment contents product has been increasing with the importance of Chinese Education Recently, empirical education with some fun activities is in the limelight breaking the traditional passive learning. Due to a such social necessity, we develop web-based Chinese Edutainment Contents for children, utilizing multimedia functions. Especially since writing Education is very important in learning chinese characters, we also developed a writing recognition function which checks the order of making strokes in writing Chinese character. Different from the existing outline area-based writing system, it determines if the character is well-written comparing to the prestored reference points in each Chinese characters, after recognizing the order of strokes and extracting peculiar points.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.15 no.7
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• pp.618-627
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• 1990

In this paper a new algorithm for separation of contacting subpattern and connective feature extraction of strokes is proposed. This algorithm is able to classification of the type of contacting parts, connective feature extreaction of strokes, separate the phoneme of contacting parts between strokes, classify the character types by feature classification of connecting parts and analysis of connecting attribute. Also, shape normalize into formal patterns and decide on the input pattern from position value of bending feature of this normalized shape and make an recognition experiment by neural network using BEP learining algorithm. This algorithm represents the good achievement ratio by separation of phoneme, classification of character type, connective feature extraction of stroke and recognition experiment.

• Journal of architectural history
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• v.17 no.5
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• pp.71-94
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• 2008

This study examines the examples and changes of wooden member terms in Yeonggeon-euigwe(營建儀軌) in the era of Joseon Dynasty. As a result of examining examples, about 240 wood member terms were found on the basis of phonetic value and examples different from today's term use were also confirmed. Wood member terms were derived in variety and synonym and different style, that is, coexistence or transition of several notations as the term indicating the same member was found. Derivation of detail terms has the characteristic increasing on the basis of morpheme and formation of different notation followed Chinese notation or was caused by complex coinage features like a coined word of Korea by the meaning of a word and borrowed character notation borrowing sound and it is also related to the specificity of that time which had dual language system. The typical examples without different style for long were pillar, rafter, door and window. Examples with active generation and selection of different styles included beam, capital and bracket-system terms. Different styles were caused by the combination of several notations including borrowed character in the process of Chinese character notation borrowing sound, Korean unique character emphasizing and limiting combination of 木 (wood) with side of character and Chinese. Period showing remarkable change of example notation was the compilation of ${\ll}$the Hwa-Sung-Sung-Euk-Eui-Gue${\gg}$ 華城城役儀軌. ${\ll}$the Hwa-Sung-Sung-Euk-Eui-Gue${\gg}$ is the representative type uigwe made by printed type not by handicraft. Printing by type accompanies unification of the shape of a character necessarily and it was considered that it resulted in the unification of character of different style, the number of strokes and minute difference of strokes, and it was interpreted that common use of intentional notation with the unification of the shape of a character was achieved.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1991.10a
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• pp.77-80
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• 1991

This paper proposes a new feature extraction method which is effectively used in character recognition, and validate the effectiveness through various computational methods for similiarity degree. To get feature vectors used in this method, Hough transform is applied to character image, which is used for edge extraction in image processing. By that transformation technique, strokes could be extracted and feature vectors constructed suitably. The characteristic of this method is solving the difficulties in stroke extraction through transform space analysis, which is induced by noise and blurring, and representing high recognition rate 99.3% within 10 candidates in relative low dimension.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.9
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• pp.1231-1238
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• 1995

In on-line character recognition, to segment input character is important. This paper proposes an internal character segmentation algorithm. The internal segmentation algorithm produces candidate words by considering possible combinations of Korean alphabets. In this process, we make use of projections of strokes onto the horizontal axis to remove ambiguities among candidate words. As a result of experiments, the internal segmentation algorithm shows better performance than external segmentation algorithm as the gap between sample characters becomes smaller.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.4
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• pp.166-174
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• 1994

This paper presents the algorithm of an on-line cursive Hangeul recognition by means of the DP matching with structural information. In the proposed method, the penalty represents the similarity between input character and reference character. The penalty is dynamically computed with types of strokes, directions of strokes, and the length rations of fragment during the process that searchs for an optimal path using 3$\times$3 matrix. As the result, this method can be exactly matched for even greatly deformed characters. The computer simulation shows that the proposed algorithm can be utilized in recognizing cursive Hangeul as well as correct Hangeul.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.2
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• pp.90-94
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• 2013

Research for Manchu character digitalization is at an early stage. This paper proposes a preprocessing algorithm for Manchu character recognition. This algorithm improves the existing Hilditch thinning algorithm so that it corrects thinning error for Manchu characters. The existing algorithm separates the characters into the left-hand side and right-hand side, while our alogorithm uses the central point between the points that strokes exist when it classifies each of characters. The experimentation results show that this method is valid for thinning and classification of Manchu characters.