• Title/Summary/Keyword: Image character

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Hangeul detection method based on histogram and character structure in natural image (다양한 배경에서 히스토그램과 한글의 구조적 특징을 이용한 문자 검출 방법)

  • Pyo, Sung-Kook;Park, Young-Soo;Lee, Gang Seung;Lee, Sang-Hun
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.15-22
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    • 2019
  • In this paper, we proposed a Hangeul detection method using structural features of histogram, consonant, and vowel to solve the problem of Hangul which is separated and detected consonant and vowel The proposed method removes background by using DoG (Difference of Gaussian) to remove unnecessary noise in Hangul detection process. In the image with the background removed, we converted it to a binarized image using a cumulative histogram. Then, the horizontal position histogram was used to find the position of the character string, and character combination was performed using the vertical histogram in the found character image. However, words with a consonant vowel such as '가', '라' and '귀' are combined using a structural characteristic of characters because they are difficult to combine into one character. In this experiment, an image composed of alphabets with various backgrounds, an image composed of Korean characters, and an image mixed with alphabets and Hangul were tested. The detection rate of the proposed method is about 2% lower than that of the K-means and MSER character detection method, but it is about 5% higher than that of the character detection method including Hangul.

Best Combination of Binarization Methods for License Plate Character Segmentation

  • Yoon, Youngwoo;Ban, Kyu-Dae;Yoon, Hosub;Lee, Jaeyeon;Kim, Jaehong
    • ETRI Journal
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    • v.35 no.3
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    • pp.491-500
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    • 2013
  • A connected component analysis from a binary image is a popular character segmentation method but occasionally fails to segment the characters owing to image noise and uneven illumination. A multimethod binarization scheme that incorporates two or more binary images is a novel solution, but selection of binarization methods has never been analyzed before. This paper reveals the best combination of binarization methods and parameters and presents an in-depth analysis of the multimethod binarization scheme for better character segmentation. We carry out an extensive quantitative evaluation, which shows a significant improvement over conventional single-method binarization methods. Experiment results of six binarization methods and their combinations with different test images are presented.

A study on RPG game character Design using Tang Dynasty Warrior cultural Prototype (당대(唐代) 무사 원형을 이용한 롤플레잉 게임 캐릭터 디자인 연구)

  • Yi, Sixiang;Lee, Dong Hun
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.685-688
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    • 2008
  • Use the collection of Tang Dynasty warrior's image as a basic, and find the element to use. Analyse the RPG game character image's element, then put the warrior image's element into the game character design's process, in order to find a way to create a new game character.

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Recognition of the Printed English Sentence by Using Japanese Puzzle

  • Sohn, Young-Sun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.3
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    • pp.225-230
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    • 2008
  • In this paper we embody a system that recognizes printed alphabet, numeral figures and symbols written on the keyboard for the recognition of English sentences. The image of the printed sentences is inputted and binarized, and the characters are separated by using histogram method that is the same as the existing character recognition method. During the abstraction of the individual characters, we classify one group that has not numerical information by the projection of the vertical center of the character. In case of another group that has the longer width than the height, we assort them by normalizing the width. The other group normalizes the height of the images. With the reverse application of the basic principle of the Japanese Puzzle to a normalized character image, the proposed system classifies and recognizes the printed numeral figures, symbols and characters, consequently we meet with good result.

A Study on Edge Detection Algorithm for Character Recognition (문자인식을 위한 에지검출 알고리즘에 관한 연구)

  • Lee, Chang-Young;Hwang, Yeong-Yeun;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.792-794
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    • 2014
  • Character recognition is an image processing technique for obtaining the character information such as documents and automobile license plate and for this edge detection methods are commonly used. The previous edge detection methods are mostly applying the weighted value mask on the image and because it applies the same mask to the entire areas of the image, the processing results are somewhat insufficient. Therefore, this paper has proposed an edge detection algorithm by applying the weighted value mask considering the distribution and location of pixels to be suitable for the character recognition.

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Comparative Analysis of AI Painting Using [Midjourney] and [Stable Diffusion] - A Case Study on Character Drawing -

  • Pingjian Jie;Xinyi Shan;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.403-408
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    • 2023
  • The widespread discussion of AI-generated content, fueled by the emergence of consumer applications like ChatGPT and Midjourney, has attracted significant attention. Among various AI applications, AI painting has gained popularity due to its mature technology, user-friendly nature, and excellent output quality, resulting in a rapid growth in user numbers. Midjourney and Stable Diffusion are two of the most widely used AI painting tools by users. In this study, the author adopts a perspective that represents the general public and utilizes case studies and comparative analysis to summarize the distinctive features and differences between Midjourney and Stable Diffusion in the context of AI character illustration. The aim is to provide informative material forthose interested in AI painting and lay a solid foundation for further in-depth research on AI-generated content. The research findings indicate that both software can generate excellent character images but with distinct features.

A Study on Character Make-up Based on Impressiology (인상학에 근거한 성격분장에 관한 연구)

  • Lee, Mi-Ae;Kim, Yong-Sun
    • Journal of the Korean Society of Fashion and Beauty
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    • v.3 no.2 s.2
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    • pp.1-11
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    • 2005
  • This study is focusing on typicalized character make-up of TV Drama characters. The purpose of this study is to analyze the interconnections of its images and impressiology concretely, and then reflect on an application approach of impressiology. The aim of make-up lies in not only helping actors to visualize their own external qualities, appropriate the quality of a play, but also audience and spectators to be immersed in the concrete fact of i character person. Impressiology will be a data to give the understanding and sympathy of make-up work. I would like to utilize character make-up based on impressiology for creative and effective make-up techniques, and make it a typicalized character. Also I will examine the horizon of a new make-up technique through character development according to the demandes of the times. As a result of this study, we find that expression method of characteristic character generalized representatively is the common quality of impressiologistc image. Also we see that such a impressioiogistic image is useful for the fundamental basis of character expression method.

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Humor of Post-Industrial Society Costume Expressing Cartoon Image (만화 이미지가 표현된 후기산업사회 복식의 해학)

  • 류근영;이효진
    • Journal of the Korean Society of Costume
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    • v.52 no.8
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    • pp.55-71
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    • 2002
  • The purpose of this study was to identify a basic meaning of humor from the costume expressing cartoon image, to grasp the status of contemporary costume, and also to supply people with a database related to the sphere of costume design. This was done by analyzing and examining humor of the costume expressing cartoon image in post-industrial society. Consequently, the result of this study was summarized as follows; First, humor by parody of Pop Art is recognized as humorous expression that repulsed the main current culture and post-industrial society phenomenon. Second, humor by quotation tends to appear through cartoon character. Costume which quote cartoon character is against Kidult tastes and the pre-existing authoritative prejudices in post-industrial society. Third, humor by bricolage, making bricolage with silhouette, color, pattern item, is recognized as new creation of humor In other words, it is regarded as enlargement of new esthetic consciousness and humor about instrumented gender in post-industrial society. Lastly, humor by deformation expressed itself in deformation of body image of character and cloth silhouette by cartoon image. Deformation of cloth silhouette by cartoon image, being not conscious pre-existing concept of harmony of human and costume, is recognized as humor which have characteristic of play with introduction of new silhouette. In addition to, the result of this study showed that humor expressed in cartoon image of costume has been limited to the works of few designers because of characteristics of fashion designers who made use of popularity as subjects of the works and internal meanings which were related to the characteristics of post-industrial society.

A Study on the Mimesis Type of the Costume in MMORPG Diablo 3 (MMORPG 디아블로 III 캐릭터 의상에 나타난 미메시스 특성)

  • Yoo, Seon A;Ko, Hyun-Zin
    • Journal of the Korean Society of Costume
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    • v.64 no.3
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    • pp.126-141
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    • 2014
  • The purpose of this study is to analyze the specific mimesis types of common character costumes in MMORPGs, which have stories that are very similar in structure to ancient myths and fantasy novels. As the subject of the research I have selected "Diablo 3" created by the American video game developer, Blizzard Entertainment Images of 5 characters, for both genders - Barbarian, Witch Doctor, Monk, Demon hunter, Wizard - were compiled for a total of 10 images, and these images were compared to popular archetypes in mythology, religion and literature. analyzed them separately according to the mimesis type. For this study, Articles and books containing the Aesthetics, Mimesis and Digital culture were researched in order to study the costume features and the Mimesis types and compare them to the costumes in the MMORPG. Firstly, the character Barbarian is a successor of the barbarian character of the previous product. The outfit worn by the game figure is based on the common images expressed in the movie . The makers created an analogous-imitation mimesis by replicating the image in an exaggerated and grand form. Second, the character Witch Doctor derived its motif from the Voodoo cult, and was expressed in analogous-imitation mimesis, using the very shades and patterns used in real life. Third, the character Monk, blending the image of a priest in Eastern Europe and images of its oriental counterparts, was expressed in transposition-diversion mimesis. Fourth, the Demon Hunter took the source of its inspiration from the image of a Witch hunter in the medieval times. The game character has a sharper sleeker figure than its model, and uses more acute shapes and darker gloomier colors expressed in an analogous-imitation mimesis. Finally, the character Magician took a formless character and expressed it in transposition-diversion mimesis taking as its basis some fantasy novels.