• 제목/요약/키워드: Local character

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A Study on the Preprocessing Method Using Construction of Watershed for Character Image segmentation

  • Nam Sang Yep;Choi Young Kyoo;Kwon Yun Jung;Lee Sung Chang
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.814-818
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    • 2004
  • Off-line handwritten character recognition is in difficulty of incomplete preprocessing because it has not dynamic and timing information besides has various handwriting, extreme overlap of the consonant and vowel and many error image of stroke. Consequently off-line handwritten character recognition needs to study about preprocessing of various methods such as binarization and thinning. This paper considers running time of watershed algorithm and the quality of resulting image as preprocessing For off-line handwritten Korean character recognition. So it proposes application of effective watershed algorithm for segmentation of character region and background region in gray level character image and segmentation function for binarization image and segmentation function for binarization by extracted watershed image. Besides it proposes thinning methods which effectively extracts skeleton through conditional test mask considering running time and quality. of skeleton, estimates efficiency of existing methods and this paper's methods as running time and quality. Watershed image conversion uses prewitt operator for gradient image conversion, extracts local minima considering 8-neighborhood pixel. And methods by using difference of mean value is used in region merging step, Converted watershed image by means of this methods separates effectively character region and background region applying to segmentation function. Average execution time on the previous method was 2.16 second and on this paper method was 1.72 second. We prove that this paper's method removed noise effectively with overlap stroke as compared with the previous method.

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Binarization and Stroke Reconstruction of Low Quality Character Image for Effective Character Recognition (효과적인 문자 인식을 위한 저 품질 문자 영상의 이진화 및 획 재구성 방법)

  • Kim, Do-Hyeon;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.3
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    • pp.608-618
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    • 2007
  • Image binarization is an important preprocessing to identify the object of interest by dividing pixels into the background and object. We proposes efficient binarization method and a stroke reconstruction method of the low quality character image for an effective character recognition. First, the character image is binarized by using the both advantages of local and global thresholding method and then the noise elimination around the character stroke and the hole filling on the stoke by the analysis of the binarized stroke image are performed to enhance the quality of the character stroke. Proposed binarization algorithm for character image achieved an efficiency of both processing speed and performance by the adaptive threshold selection. Moreover, We could get a high qualify binary image by a stroke reconstruction of the step-by-step denoising process.

Character Region Detection in Natural Image Using Edge and Connected Component by Morphological Reconstruction (에지 및 형태학적 재구성에 의한 연결요소를 이용한 자연영상의 문자영역 검출)

  • Gwon, Gyo-Hyeon;Park, Jong-Cheon;Jun, Byoung-Min
    • Journal of Korea Entertainment Industry Association
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    • v.5 no.1
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    • pp.127-133
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    • 2011
  • Characters in natural image are an important information with various context. Previous work of character region detection algorithms is not detect of character region in case of image complexity and the surrounding lighting, similar background to character, so this paper propose an method of character region detection in natural image using edge and connected component by morphological reconstructions. Firstly, we detect edge using Canny-edge detector and connected component with local min/max value by morphological reconstructed-operation in gray-scale image, and labeling each of detected connected component elements. lastly, detected candidate of text regions was merged for generation for one candidate text region, Final text region detected by checking the similarity and adjacency of neighbor of text candidate individual character. As the results of experiments, proposed algorithm improved the correctness of character regions detection using edge and connected components.

A Study on Methods of Environmental Education in the Geographic Section of Elementary School Social Studies (초등 사회과 지리 영역에 있어서 환경교육의 방안)

  • 홍기대
    • Hwankyungkyoyuk
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    • v.9 no.1
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    • pp.39-57
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    • 1996
  • All kinds of environmental problems are related to each local and geographical environment. For this reason, it is necessary for schools in each region to provide environmental education which suits the geographical character of their particular region. In order to provide solutions to the environmental problems of each school's geographic region, the goal of this research is as follows: 1. We can make students realize the relationship between the human race and the environment by teaching according to the environmental conditions in each local area. 2. By teaching students about the problems in their own local environment, we can increase their concern about the state of their local surroundings. 3. When teaching about the environment, it is useful to use educational material which suits the character of each local region. 4. Students' interest in environmental preservation can be aroused through extracurricular environmental activities. The ares concerned are Chonnam and Kwangju City, which are divided into urban, industrial, rural, coastal, and mountainous areas. The conclusion about considering environmental education in environmental school social studies is as follows: 1. Kwangju and Chonnam should be divided into five sections, each with similar geographical environments. This will be an improvement over the old uniform approach to environmental studies in which all regions were treated as being the same each region will now receive special attention. 2. It is necessary to maximize the efficient use of the Environmental Education Building. When Media, environmental data and special materials for environmental education are used effectively, teachers can lead class effectively and students will be more interested in the class. 3. We can detect the cause of pollution, increase interest in the environment and easily solve environmental problems by collecting and displaying environmental educational materials. 4. An environmental education corner could boost students' interest in environmental problems and could act as a kind of bridge between theoretical and practical education. 5. Media and environmental data must be specialized according to the geographic character of each region. In this way, we can expect to improve the quality of environmental education over the simplistic environmental education of previous years. 6. Students will become interested in the problems of the region in which they live through social studies, and primarily through the environmental curriculum. 7. We can prevent learning deficiencies by making a consistent teaching plan. The teaching and learning methods will be improved and the teachers will be proud of what they teach. 8. The purpose of the Education Procedure Content Analysis is to make teaching and learning concise and easy by systematizing environmental and related subjects. This can be done by adding an environmental unit to the geographic section of social studies. 9. Citizens' interest in their own residential environment can be increased through action by sustaining environmental preservation movements to local region people.

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Namwon poetry of Maewol-dang Sayou-rok and the local color of (매월당 사유록의 남원(南原) 시문과 만복사저포기의 향토성)

  • Kang, seogkeun
    • (The)Study of the Eastern Classic
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    • no.48
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    • pp.65-90
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    • 2012
  • This paper treats indigenous themes on of Kim Si-seup(金時習). has strong local color to the others of "Keumoh-shinhwa(金鰲新話)". This novel is set in Nam-won(南原) and Manbok-sa (萬福寺)which are used to realize the subject. Not only a folk game like Jeopo is used as important tool, but the main character of the novel is native Namwon man. Kim Si-seup stayed for a long time in Namwon. Because of this experience, he can realize unique and local setting, and then can break from the convention about a place setting of classic novel. The local color on is confirmed at . This tale have come down in Namwon, and then was recorded early 1970s. This tale is very similar with , so many researchers understood that the tale is the orginal work of . However, I suggest that is the orginal. Written with Chinese character, was very difficult to read. Besides, many Chosun scholar couldn't find this novel. Nevertheless, has a strong local color, so many Namwon people could accept this novel, and could create new folk tale easily.

Robust Character Image Retrieval Method Using Bipartite Matching (Bipartite Matching을 이용한 강인한 캐릭터 영상 검색 방법)

  • 이상엽;김회율
    • Journal of Broadcast Engineering
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    • v.7 no.2
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    • pp.136-144
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    • 2002
  • In this paper, a novel approach that makes use of both shape and color information to retrieve character images in terms of similarity distance from a large-capacity image database or from a streaming image database, in particular, character image logo or trademark. In order to combine both features of completely different characteristics bipartite matching has been employed in computing similarity distance, The proposed method turned out to bealso very effective in matching natural object or human-drawn images whose shape varies substantially.

Single-Layer Neural Networks with Double Rejection Mechanisms for Character Recognition (단층 신경망과 이중 기각 방법을 이용한 문자인식)

  • 임준호;채수익
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.3
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    • pp.522-532
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    • 1995
  • Multilayer neural networks with backpropagation learning algorithm are widely used for pattern classification problems. For many real applications, it is more important to reduce the misclassification rate than to increase the rate of successful classification. But multilayer perceptrons(MLP's) have drawbacks of slow learning speed and false convergence to local minima. In this paper, we propose a new method for character recognition problems with a single-layer network and double rejection mechanisms, which guarantees a very low misclassification rate. Comparing to the MLP's, it yields fast learning and requires a simple hardware architecture. We also introduce a new coding scheme to reduce the misclassification rate. We have prepared two databases: one with 135,000 digit patterns and the other with 117,000 letter patterns, and have applied the proposed method for printed character recognition, which shows that the method reduces the misclassification rate significantly without sacrificing the correct recognition rate.

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A Phoneme Separation and Learning Using of Neural Network in the On-Line Character Recognition System (신경회로망을 이용한 온라인 문자 인식 시스템의 자소 분리에 관한 연구)

  • Hong, Bong-Hwa
    • The Journal of Information Technology
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    • v.9 no.1
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    • pp.55-63
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    • 2006
  • In this paper, a Hangul recognition system using of Kohonen Network in the phoneme separation and learning is proposed. A Hangul consists of phoneme that are consists of strokes. The phoneme recognition and separation are very important in the recognition of character. So, the phonemes which mismatching has been happened are correctly separated through the learning of neural networks. also, learning rate($\alpha$) adjusted according to error, in order to solved that its decreased the number of iteration and the problem of local minimum, adaptively.

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A Study on the Character of Animation for the Promotion of Regional Characteristic Content (지역특성콘텐츠 활성화를 위한 애니메이션 캐릭터 연구)

  • Ahn, Yong Jun;Lee, Young-Suk
    • Journal of Korea Multimedia Society
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    • v.24 no.3
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    • pp.508-517
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    • 2021
  • In this study, the possibility of contents was explored by extracting materials that can be used as regional-specific contents. To this end, the possibility of local content specialization was examined for Eomuk, the representative food of Busan. First, it looked at the content process of Busan's regional-specific material and developed it as a character. Next, it looked at the story development and the process of incorporating it into animation. In the future, based on this study, we would like to present guidelines for the spread of Korean-style regional-specific content.

Winter Olympics Mascots: Features and Attributes

  • Myeong Hee, SEONG;Dong Geun, LEE;Hyuk Jin, LEE
    • Journal of Sport and Applied Science
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    • v.7 no.1
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    • pp.1-10
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    • 2023
  • Purpose: This paper analyzed the features of Winter Olympics mascots in chronological order by examining the evolution of mascots and presented the attributes of the Winter Olympics mascots from Innsbruck 1976 to Beijing 2022. Research design, data, and methodology: This paper conducted an exploratory study on the thinking to understand the characteristics of 13 Winter Olympics Mascots through literature review. Results: First, the mascot is a fictional character, usually an artificial character that represents the locality of the host city, including animals, human figures, and local inhabitants. Second, Schneemann, Innsbruck 1976 was known as the first official Winter Olympics mascot. Third, 19 mascots out of a total of 24 mascots were created using animals. Conclusions: The six attributes of the Winter Olympics mascots were identified: friendliness, symbolic meaning, originality, diversity, value, and identity of a special location. Above all, Winter Olympics has a locality that includes areas covered with ice and snow. From this point of view, the Olympics mascot highlights the image of snow and ice and the physical environment that includes it.