• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.3
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• pp.232-247
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• 1991

This paper proposes a new classification algorithm using characteristic and structural information of printed Hanja as preliminary stages of Hanja-character recognition. Hanja is difficult for not only recognition but classification as many character and complicated structure. In this paper, to solve thie problem, extracted common subpattern in classified pattern after processing type classification fot Hanja pattern. First, we extracted subpattern, after we process preprecessing about input of character pattern, extracting directional segment, labeling on 4-directional pattern and 12 type classified using structural information based on the subpattern existing region of character pattern. Though the experiment, this study obtained that classified rate of Hanja is 93.07% on 1800 character of educational Hanja and 90.12% on 4888 character of KS C5601 standard TRIGEM LBP Hanja font and saw that as extracting subpattern at classified data was this paper possibly applied to the recognition.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.913-916
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• 1998

In this paper, to provide the robustness of character recognition, we propose a recognition method using the dilated boundary curve feature which has the invariance characteristics for the shift, scale, and rotation changes of character pattern. And its some characteristics and effectieness are evaluated through the experiments for both the english alphabets and the numeral digits. The feature vector is represented by the fourier descriptor for a boundary curve of the dilated character pattern which is generated by the circular mask dilation method, and is used for a nearest neighbort classifier(NNC) or a nearest neighbor mean classifier(NNMC). These the processing time and the recognition rate, and take also the robustness of recognition for both some internal noise and partial corruption of an image pattern.

• Archives of design research
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• v.14 no.3
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• pp.135-144
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• 2001

What find the motive of new design from Korean traditional cultural inheritance and symbolize it visually is to create a new design of Korean style into the harmony of shape and aesthetics by harmonizing past design and modern one, to discover the value of the future, and to make a new traditional culture. This study is to find the motive of design from Korean traditional pattern and character of the twelve horary signs, to develop unique Korean style character by studying character to cause novel and refined sense and interest through the mix of traditional image and modern one, and to propose a plan to apply in various and practice the Korean style character to modern design. In addition, the purpose of this study is to discover the identity of Korean style from foreign culture by presenting identity and originality with our peculiar cultural elements as well as to develop the visual effect and character of traditional pattern, and to have national competitiveness with Korean style design from the world market of the future.

• Fashion & Textile Research Journal
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• v.19 no.5
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• pp.635-645
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• 2017

The industry of character toys is increasing and new characters are constantly being developed. However, the development of 2D cover patterns for toys is time-consuming due to frequent pattern modifications made through trial and error. Studies are now underway to obtain 2D clothing patterns from 3D body data, however, little research has been done on 2D pattern of character toys. This study suggests efficient guidelines to develop 2D cover patterns with a reasonable accuracy and processing time. Two 3D models of a dog and rabbit were used to develop 2D cover patterns. Independent variables of this study are set as 3 levels of triangle area (small, medium, and large) that influence the efficacy of 3D and 2D pattern development. The determination of the appropriate triangular area was based on the area and shape change of the 2D pattern. A medium or large triangle area was shown to be suitable for a character dog with a smooth curved surface. However, the appropriate triangle area was small if the characteristics of the curved surface are complicated as in the case of rabbit. The head of a dog (a double-curved surface) and the curved forepaw of a rabbit (a triangular area) should be small when the characteristics of the curved surface (such as the hind leg of a rabbit having a large convex surface and a small surface area) are complicated. Grouping by 3D surface characteristics could be a suitable guideline for the triangle area selection.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.936-940
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• 1987

This paper describes the recognition boundary of Hangeul character to interpret variance factor in accordance with various combination. When the recognition algorithm based on comparing the MSE value with the one of the standard pattern in $16{\times}16$ images is performed, we come to a conclusion that we have towe must make a decision MSE value above 34 in order to achive theve recognition rate larger than 90%. Also we understand that varing component coordinates method based on statistical process of each character pattern is preferred.

• Journal of the Korean Society of Costume
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• v.38
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• pp.83-100
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• 1998

The purpose of this study is to figure out how stage costume of Peking Opera communicates what the character wants to inform to spectator. The stage costume means the clothing, shoes, headdress, accessory that the cast is worn for communicating personality of character. Stage costume not only reveals the character of new spirit who the director and the work is like to create, but also makes the style of play harmonizing with the atmosphere of the work. So, the stage costume in the play is a sort of symbol system that forms the depth of play. The stage costume of Peking Opera was formed on the basis of the Chinese traditional stage costume in the Qing period, however the style of stage costume was beautified the costume of Ming period and here contained the factors of successive costumes. But the stage costume of Peking Opera don't have the same rank system with real history costume and don't have demarcation according to period and history. Only it is that transformed and created the real history costume with Chinese fine view and made how they wear Chinese fine view and made how they wear the costume according to position, age, personality of character in the play. In the stage costume of Peking Opera, the color is cultural language that director can communicate to spectators and can inform spectator of sex, age, personality, position of the character. The color of the stage costume of Peking Opera reflects the principles of Yin and Yang and the five elements of the Chinese cosmogony. The pattern of decoration also makes the personality and characteristic of the character. The dragon pattern symbols the authority and majesty, so only the character of high position can use it. The pattern of tiger and leopard symbols bravery, so the military officer can use it. Civil officer decorates with the pattern of Japanese apricot, orchid, chrysanthmum, bamboo that symbols integrity and honor. The stage costume of Peking Opera communicates the identity of character with the special form of costume. Kanjien is a costume of the young priestess, Houyi is the Sunwukong'costume. Chayi is a costume of boatman. Lingzi, Sweixiu, Kaoqi is the props for the foramtive effect of stage costume, also they play an important part in expressing the emotion situation. In the result of study, we could know that the form, color, pattern of the stage costume and props of Peking Opera play important parts in communicating informations that let spectator can understand the play. So, the stage costume of Peking Opera is an‘picturizing costume’that the form, color, pattern of the stage costume is a sort of symbol system. It makes spectator feels actually the viewing Peking Opera.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.2
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• pp.180-195
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• 1991

In this paper, we studied on new method of recognition using structural information to recognize character pattern in orginal shape of Hangeul. First, for the purpose of knowing location of character in input image. it processed Making block. Second, after we investigated. whether vertical vowel exited or not in character image accordingly the center of gravity of Hangeul. each character was classified into Type of Hangeul by searching location and length for horizontal vowel and short pole. Last, we processed it by means of template matching which calculate Uclid's distance on each Jaso in accordance to type classified. This paper made an experiment on 2350 characters and obtained 98.3% classifing rate and 95.2% recognizing rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1167-1174
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• 2006

Text region detection from a natural scene is useful in many applications such as vehicle license plate recognition. Therefore, in this paper, we propose a text region extraction method using pattern histogram of character-edge maps. We create 16 kinds of edge maps from the extracted edges and then, we create the 8 kinds of edge maps which compound 16 kinds of edge maps, and have a character feature. We extract a candidate of text regions using the 8 kinds of character-edge maps. The verification about candidate of text region used pattern histogram of character-edge maps and structural features of text region. Experimental results show that the proposed method extracts a text regions composed of complex background, various font sizes and font colors effectively.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.129-131
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• 2006

The performances of neural network systems mainly depend on the kind and the number of input patterns for its training. Hence, the kind of input patterns as well as its number is very important for the character recognition system using back-propagation network. The more input patters are used, the better the system recognizes various characters. However, training is not always successful as the number of input patters increases. Moreover, there exists a limit to consider many input patterns of the recognition system for cursive script characters. In this paper we present a new character recognition system using the back-propagation neural networks. By using an additional neural network, an input pattern generation method is provided for increasing the recognition ratio and a successful training. We firstly introduce the structure of the proposed system. Then, the character recognition system is investigated through some experiments.

• Journal of information and communication convergence engineering
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• v.1 no.1
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• pp.53-57
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• 2003

Chaos theory is a study researching the irregular, unpredictable behavior of deterministic and non-linear dynamical system. The interpretation using Chaos makes us evaluate characteristic existing in status space of system by tine series, so that the extraction of Chaos characteristic understanding and those characteristics enables us to do high precision interpretation. Therefore, This paper propose the new method which is adopted in extracting character features and recognizing characters using the Chaos Theory. Firstly, it gets features of mesh feature, projection feature and cross distance feature from input character images. And their feature is converted into time series data. Then using the modified Henon system suggested in this paper, it gets last features of character image after calculating Box-counting dimension, Natural Measure, information bit and information dimension which are meant fractal dimension. Finally, character recognition is performed by statistically finding out the each information bit showing the minimum difference against the normalized pattern database. An experimental result shows 99% character classification rates for 2,350 Korean characters (Hangul) using proposed method in this paper.