• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.269-281
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• 2014

Compared to hiding information into digital image, hiding information into digital text file requires less storage space and smaller bandwidth for data transmission, and it has obvious universality and extensiveness. However, text files have low redundancy, so it is more difficult to hide information in text files. To overcome this difficulty, Wang et al. proposed a reversible information hiding scheme using left-right and up-down representations of Chinese characters, but, when the scheme is implemented, it does not provide good visual steganographic effectiveness, and the embedding and extracting processes are too complicated to be done with reasonable effort and cost. We observed that a lot of traditional and simplified Chinese characters look somewhat the same (also called lookalike), so we utilize this feature to propose a novel information hiding scheme for hiding secret data in lookalike Chinese characters. Comparing to Wang et al.'s scheme, the proposed scheme simplifies the embedding and extracting procedures significantly and improves the effectiveness of visual steganographic images. The experimental results demonstrated the advantages of our proposed scheme.

• Journal of the Korean earth science society
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• v.28 no.1
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• pp.24-34
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• 2007

The purpose of this study was to analyze 9th grade students' understanding about the earth science terms written by Chinese characters depending on their loaming style and attitudes toward science. The study selected the eight students with the middle level of science achievement and divided into four groups: verbal-high attitude toward science, verbal-low attitude toward science, visual-high attitude toward science, and visual-low attitude toward science learners. Three types of questionnaires including Korean characters type, a picture type, md Korean and Chinese characters type were developed to determine the students' understanding about the earth science terms written by Chinese characters. The results of data indicated that the 9th grade students' understanding showed no significant difference by their different teaming style, and yet demonstrated higher level of understanding in Korean and Chinese characters type questionnaire rather than Korean characters type only or a picture type. On the other hand, the level of students' understandings both in Korean characters type and a picture type was about equal. In conclusion, it seems more effective in students' teaming about the earth science terms written by Chinese characters when they were provided with both Korean and Chinese characters.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.11
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• pp.1175-1184
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• 1992

A new classification method and recognition algorithms for printed Korean and Chinese character is studied for Korean text which contains both Korean and Chinese characters. The proposed method utilizes structural features of the vertical and horizontal vowel in Korean character. Korean characters are classified into 6 groups. Vowel and consonant are separated by means of different vowel extraction methods applied to each group. Time consuming thinning process is excluded. A modified crossing distance feature is measured to recognize extracted consonant. For Chinese character, an average of stroke crossing number is calculated on every characters, which allows the characters to be classified into several groups. A recognition process is then followed in terms of the stroke crossing number and the black dot rate of character. Classification between Korean and Chinese character was at the rate of 90.5%, and classification rate of Ming-style 2512 Korean characters was 90.0%. The recognition algorithm was applied on 1278 characters. The recognition rate was 92.2%. The densest class after classification of 4585 Chinese characters was found to contain only 124 characters, only 1/40 of total numbers. The recognition rate was 89.2%.

• Cross-Cultural Studies
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• v.44
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• pp.191-209
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• 2016

This article aims to analyze the perception of Korean-Chinese in South Korea to understand the mentality of South Korean people in a multicultural society through exploring Korean films in which Korean-Chinese characters have been represented since 2000. For this purpose, Korean-Chinese characters represented in Korean Films are divided into male and female. It could be said that South Koreans are biased against Korean-Chinese, who are considered 'others' under the economic and cultural hierarchy. Female characters are presented as 'pure' and 'frail' in the migration narrative while male characters are 'indecent' and 'brutal' individuals in crime narrative films. Meanwhile, Haemoo [Sea fog] is a story about economically weak Koreans and Korean-Chinese who were in economical conflict with each other, but were victims of the economical restructuring systems under neo-liberalism.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.3
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• pp.99-110
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• 2020

The Chinese Pinyin system using Roman characters is used to input Chinese into a computer or a smartphone. However, because the Chinese Pinyin system can not express Chinese pronunciation accurately as it is, it is very difficult for Korean people to input Chinese using this system In this paper, we designed a Chinese input system using Hangeul which can best represent pronunciations among the world's characters. In the system proposed in this study, Chinese input is possible even when Chinese pronunciation is similarly expressed, which increases the probability of successful input and also verified it through performance evaluation.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.2
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• pp.50-59
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• 1992

In the most studies of Korean character recognition so far, they first classify the characters to 6 types according to their structures and then recognize the characters by identifying their basic components named $'$jaso.$'$ In the study, we propose a method which recognizes the characters without using structure types and is applied to reading documents containing both Korean and Chinese characters. We first classify Korean and Chinese characters by using a modified SOFM model. Then we recognize the characters in each class by using an APC neural network which has the advantage of fast leaning speed and the capablity of additive learning. An experimental result demonstrated the usefulness of the approach with the recognition rate of $\%.$\%.

• Cross-Cultural Studies
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• v.21
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• pp.213-254
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• 2010

The goal of this thesis is to make a comparative study about the variant form of the Chinese character in the five sorts of old maps drawing outside of the main gates of old map including DeDongYei-jido. The main task of this thesis can be classified under three heads - (1) introducing the literature of comparative study in the five sorts of old maps including DeDongYei-jido (2) classification of variant form in the five sorts of old maps (3) characteristic of variant form in the five sorts of old maps. In this thesis, aspect of variant form is classified under six head - (1) variation of the whole shape of the character (2) taking place the variation in both sides of Chinese character (3) taking place the variation in part (4) taking place variation in the strokes of the Chinese character (5) misusing different characters (6) changing different characters. This thesis explains some characteristic of variant form - (1) simplification of the shape of characters (2) using the Hou-qi-zi(後起字, Chinese character which is actually the same but made the next) (3) replacing the overlapped both sides of Chinese character with omit mark (4) a wrongly written character (5) discovering the variant form such as variant form of 廣, 广 variant form of 廛, variant form of 院 which was not recorded in Chinese literature. From now on, there should be some collections of variant form of Korean style and study. we are going to have to standardize aspect of variation and rule of variant form in old maps until we have to make some ways to recognize the block letter.

• Journal of the International Relations & Interdisciplinary Education
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• v.2 no.1
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• pp.43-55
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• 2022

Through literary research, this study aims to study chinese characters in the Chosun Dynasty from the perspective of international exchange. While sorting out the historical materials, it investigates the implementation organ, educational content and main characteristics of Chinese education in the Chosun Dynasty, its influence on the Korean peninsula at that time and Its enlightenment to today's Chinese international education. The results show that the Chinese language education institutions in the Chosun Dynasty mainly played the role of Chinese language education in the Si service academy and the Sheng Wen Academy. The contents of Chinese language education mainly include the development of oral Chinese teaching materials, the publication of rhymes and other reference books, the compilation of dictionaries and the training of Chinese translators. Through the in-depth study of Chinese rhymes, the Korean Peninsula created its own Korean national character in 1443, getting rid of the will of Chinese characters. The invention of Korean language has greatly encouraged the political, economic and cultural development of the Korean peninsula. In addition, the Chinese language education in the Chosun Dynasty provides a good experience for today's Chinese international education in China.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.9
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• pp.1269-1282
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• 1993

In this paper, we propose to method of recognizing printed chinese characters which combine the coventional deterministic methods and the neural networks. Firstly, we extract four directional vector of strokes from chinese characters. Secondly, we make the mesh of the center of gravity in the vector and then constitute the H x8 feature matrix using black pixel lenth from each meshs. This normalized feature matrix value offer as the input of neural network for classifying into the 14 character types. And this calssified character classify again into Busu group by the Busu recognizing neural network. Finally, we recognize each characters using the distance of similarity between input characters and reference characters. The usefulness of the proposed algorithm is evaluated by experimenting with recognizing the chinese characters.

• Korean Journal of Child Studies
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• v.24 no.4
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• pp.55-69
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• 2003

This study analyzed the contents of reading textbooks of Chinese-Korean $1^{st}$, $4^{th}$, and $7^{th}$ graders in Yanji, China with reference to ecological systems and values. Results showed that the literature genre of Korean textbooks in China was predominantly novels/stories(38.5%) rather than essays(13.7%), poems/verses/rhymes(16.2%) or others(31.6%). Characters were classified into 9 categories and analyzed by Bronfenbrenner's ecological paradigm. It was found that Chinese-Korean textbooks included more characters belonging to exo- or macro-systems including school, community, and government while Korean textbooks emphasized the self or the family, both belonging to the micro-system. Values in Chinese-Korean textbooks emphasized community and government. Korean textbooks emphasized individual life. Differences were more pronounced in textbooks of the upper grades.