• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.7
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• pp.793-801
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• 1992

This paper proposes a method of extracting connected strokes and characters in a Hangeul document image represented by a quadtree. Connected strokes are extracted by examining adjacency for each node of a black region to the side of east and south. Then, each character is extracted by the sizes and the relations of connected strokes. This is done by iterative vertical and horizontal manipulation. The result shows all characters are extracted in the same sequence as that of context with space and time efficiency.

• Archives of design research
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• v.14 no.4
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• pp.227-235
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• 2001

At present the educational envelopment of our country was placed in the difficult situation that cannot help but coping with the situation positively and actively against a lot of change and the crisis inside and outside. By employing the UI(university Identity) or CI(College Identity) for the communication method to overcome the above present situation and to take a triangular position again, those are recognized that making an effort to amend or re-generate the present images is important in the management of college. But UI or CI are upright and have strong feeling on the specific character of college which is called as educational organization. And in its application, it shows weak point that cannot scope softly against the changing current of times by lack of adaptability. By congesting the restriction of conveyance of image and upright nature of such operation, and also by developing the Image Mark that can convey variety, affection and polished feeling, and further by conveying the future-oriented images aimed by college to the educational consumers closely and softly, it is to take the roils faithfully for the strengthening of competitive power of college. In addition, in order to convey college image softly and effectively and also utilize as a means of positive propaganda, character was developed together.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.558-561
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• 2009

In this paper, we propose Simple Frame Marker(SFMarker) to support recognition of characters and images included in a marker in augmented reality. If characters are inserted inside of marker and are recognised using Optical Character Recognition(OCR), it doesn't need marker learning process before an execution. It also reduces visual disturbance compared to 2D barcode marker due to familarity of characters. Therefore, proposed SFMarker distinguishes Square SFMarker that embeds images from Rectangle SFMarker with characters according to ratio of marker and applies different recognition algorithms. Also, in order to reduce preprocessing of character recognition, SFMarker inserts direction information in border of marker and extracts it to execute character recognition fast and correctly. Finally, since the character recognition for every frame slows down tracking speed, we increase the speed of recognition process using the result of character recognition in previous frame when frame difference is low.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.49-57
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• 2010

In this thesis, We studied on hand-written character recognition, that characters entered into a digital input device and remove noise and separating character elements using preprocessing. And processed character images has done thinning and 3-level wavelet transform for making normalized image and reducing image data. The structural method among the numerical Hangul recognition methods are suitable for recognition of printed or hand-written characters because it is usefull method deal with distortion. so that method are applied to separating elements and analysing texture. The results show that recognition by analysing texture is easily distinguished with respect to consonants. But hand-written characters are tend to decreasing successful recognition rate for the difficulty of extraction process of the starting point, of interconnection of each elements, of mis-recognition from vanishing at the thinning process, and complexity of character combinations. Some characters associated with the separation process is more complicated and sometime impossible to separating elements. However, analysis texture of the proposed character recognition with the exception of the complex handwritten is aware of the character.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.349-357
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• 2015

Giant character used various SF movies and games in media convergence ages, and is essential for giant character in success contents. It This study defined giant character of SF movies and games, it analysed the eight of external characteristics and internal characteristics of giant character in SF movies and games. The external characteristics defined shape, silhouette, size and color, the internal characteristics defined fear, satanism, image and story focus, playfulness. Above, it was structured positioning model of giant character based eight characteristics and analyzation of example of SF movies and games. The elements of positioning model of giant characters are darkness, huge, abnormal, human, animal, fear, satanism, story focused, image focused and playfulness, and this study was proposed these model of elements of eight in SF movies and games.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.131-137
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• 2019

This study proposes a method of learning and recognizing the characteristics that are the classification criteria of Hangul using Mask R-CNN, one of the deep learning techniques, to recognize and classify atypical Hangul characters. The atypical characters on the Hangul signboard have a lot of deformed and colorful shapes beyond the general characters. Therefore, in order to recognize the Hangul signboard character, it is necessary to learn a separate atypical Hangul character rather than the existing formulaic one. We selected the Hangul character '닭' as sample data and constructed 5,383 Hangul image data sets and used them for learning and verifying the deep learning model. The accuracy of the results of analyzing the performance of the learning model using the test set constructed to verify the reliability of the learning model was about 92.65% (the area detection rate). Therefore we confirmed that the proposed method is very useful for Hangul signboard character recognition, and we plan to extend it to various Hangul data.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.1
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• pp.139-148
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• 2015

In this paper, a new algorithm is proposed for detecting the product number of each thick plate and extracting each character of the product number from a image which contains several thick plates. In general, a image of thick plates contains several steal plates. To obtain the product number from the image, we first need to separate each plate. To do so, we use the line edges of thick plates and a clustering algorithm. After separating each plate, background parts are eliminated from the image of each plate. Background parts of an individual thick plate image consist of the dark part of steel and the white part of paint which is used for printing the product number. We propose a two-tiered method where dark background parts are first eliminated and then white parts are eliminated. Finally, each character is extracted from the product number image using the characteristics of product number. The results of the experiments on the various steal plates images emphasize that the proposed algorithm detects each thick plate and extracts the product number from a image effectively.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.1
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• pp.95-100
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• 2007

In the steel & iron processing line, some characters are marked for the material management in the surface of material. This paper describes about the developed results of vision system for the recognition of material management characters, which was included in the slab image. Our vision system for the character recognition includes that CCD camera system which acquire slab image, optical transmission system which transmit captured image to the long distance, input and output system for the interface with existing system and monitoring system for the checking of recognition results. We have installed our vision system at the continuous casting line and tested. Also, we have performed inspection of durability, reliability and recognition rate. Through the testing, we have confirmed that our system have high recognition rate, 97.4%.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.241-246
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• 2018

Because of the mechanical problems of input camera equipment, image restoration process is performed in order to minimize recognition errors due to the noise problem generated in test data image. The image restoration method resolves the noise problem by examining the numbers and positions of the Direct neighbors and the Indirect neighbors for each pixel constituting the test data. As a result, satisfactory recognition result can be obtained by eliminating the noise problem generated in the test data through the image restoration process as much as possible and also by calculating the differences between the learning data and the test data in the area unit, thereby reducing the possibility of recognition error by the noise problem.

• Journal of Korea Multimedia Society
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• v.10 no.10
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• pp.1319-1327
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• 2007

Clothing color for animation characters is very important in expressing a given characters image and characteristics. Consequently, in this paper, we propose a tool that allows an easy and simple selection of clothing color combinations in conjunction with previous color combination image research (color image chart). This tool has two functions, The first allows the user to search what color best fits a given image, and the second calculates which image is closest to the color that user has chosen. This tool was developed so it can be used over the web, and was used to verify whether the color combination for Disney and Dream Works animated characters' clothing has been selected appropriately according to the character's image, as determined through a survey.